Abstract: The present invention is directed to an image information encoding apparatus adapted for performing intra-image encoding based on resolution of color components and color space of an input image signal. An intra prediction unit serves to adaptively change block size in generating a prediction image based on a chroma format signal indicating whether resolution of color components is one of 4:2:0 format, 4:2:2 format, and 4:4:4 format, and a color space signal indicating whether color space is one of YCbCr, RGB, and XYZ. An inverse orthogonal transform unit and an inverse quantization unit serve to also change orthogonal transform technique and quantization technique in accordance with the chroma format signal and the color space signal. An encoding unit encodes the chroma format signal and the color space signal to generate a prediction image corresponding to the chroma format signal and the color space signal.

Abstract: A computer implemented method for fusing images taken by a plurality of cameras is disclosed, comprising the steps of: receiving a plurality of images of the same scene taken by the plurality of cameras; generating Laplacian pyramid images for each source image of the plurality of images; applying contrast normalization to the Laplacian pyramids images; performing pixel-level fusion on the Laplacian pyramid images based on a local salience measure that reduces aliasing artifacts to produce one salience-selected Laplacian pyramid image for each pyramid level; and combining the salience-selected Laplacian pyramid images into a fused image. Applying contrast normalization further comprises, for each Laplacian image at a given level: obtaining an energy image from the Laplacian image; determining a gain factor that is based on at least the energy image and a target contrast; and multiplying the Laplacian image by a gain factor to produce a normalized Laplacian image.

Abstract: The present invention is directed to an image information decoding apparatus adapted for performing intra-image decoding based on resolution of color components and color space of an input image signal. An intra prediction unit serves to adaptively change block size in generating a prediction image based on a chroma format signal indicating whether resolution of color components is one of 4:2:0 format, 4:2:2 format, and 4:4:4 format, and a color space signal indicating whether color space is one of YCbCr, RGB, and XYZ. An inverse orthogonal transform unit and an inverse quantization unit serve to also change orthogonal transform technique and quantization technique in accordance with the chroma format signal and the color space signal. A decoding unit decodes the chroma format signal and the color space signal to generate a prediction image corresponding to the chroma format signal and the color space signal.

Abstract: A feature tracking technique for detecting and tracking feature points with primary colors. An energy value may be computed for each color channel of a feature. If the energy of all the channels is above a threshold, then the feature may be tracked according to a feature tracking method using all channels. Otherwise, if the energy of all of the channels is below the threshold, then the feature is not tracked. If the energy of at least one (but not all) of the channels is below the threshold, then the feature is considered to have primary color, and the feature may be tracked according to the feature tracking method using only the one or more channels with energy above the threshold. The feature tracking techniques may, for example, be used to establish point trajectories in an image sequence for various Structure from Motion (SFM) techniques.

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others relate to coping with fixed focus limitations of cell phone cameras, e.g., in reading digital watermark data. Still others concern user interface improvements. A great number of other features and arrangements are also detailed.

Abstract: High depth grayscale images, (e.g. <8 bits per pixel) are losslessly cross channel encoded to multi-channel image formats for transformation and display by display devices not capable of displaying high depth grayscale. DICOM and other images may be encoded and provided to web browser based client image viewers that leverage native code for handling multi-channel images. Transformations are applied to reconstitute the high depth grayscale images.

Abstract: An image processing method is adapted for color enhancement of an original image pixel. The original image pixel is composed of a plurality of pixel components each having a component value. The image processing method includes: determining a hue region to which the original image pixel belongs based directly on the component values of the pixel components thereof; selecting a color enhancement parameter corresponding to the determined hue region; and obtaining a color enhanced pixel according to the selected color enhancement parameter and the component values of the pixel components of the original image pixel.

Abstract: The present method relates to digital color image processing, in particular restoration and recovery of lost contrast and details in highlights due to overexposure or clipping by reconstructing components based on the signal remaining in at least one non-clipped signal component.

Abstract: A method for displaying live video of a tooth identifies a tooth tissue region in a viewable image frame obtained from a video stream and processes pixel data within the tooth tissue region to identify a suspected caries site. Intensity values for pixels that correspond to the suspected caries site are modified and a highlighted viewable image frame is formed as a combination of the modified intensity values corresponding to the suspected caries site and other pixel values in the viewable image frame. The highlighted viewable image frame is displayed in video form.

Abstract: An image processing apparatus includes an image input unit that inputs a two-dimensional image signal, a depth information output unit that inputs or generates depth information of image areas constituting the two-dimensional image signal, an image conversion unit that receives the image signal and the depth information from the image input unit and the depth information output unit, and generates and outputs a left eye image and a right eye image for realizing binocular stereoscopic vision, and an image output unit that outputs the left and right eye images. The image conversion unit extracts a spatial feature value of the input image signal, and performs an image conversion process including an emphasis process applying the feature value and the depth information with respect to the input image signal, thereby generating at least one of the left eye image and the right eye image.

Abstract: In an image processing apparatus, a process display unit displays on the display a plurality of candidate image processes to be performed on the image data. The plurality of candidate image processes includes a sepia image process. A process receiving unit receives an instruction indicating the sepia image process selected from among the plurality of candidate image processes. A process storing unit stores the selected sepia image process. An image display unit displays a display image corresponding to the image data on the display. An image designating unit designates a display image. The image display unit displays a processed display image that represents a result of the selected sepia image process performed on the image data corresponding to the designated display image before performing the selected sepia image process on the image data corresponding to the designated display image.

Abstract: A method of editing color characteristics of an electronic image includes: a) receiving an original electronic image at a color editing subsystem; b) analyzing the original electronic image to identify original color characteristics and to identify a recommended set of color editing options, the recommended set of color editing options being less than a complete set of color editing options provided by the color editing subsystem; c) presenting the recommended set to a user via a user interface device; d) receiving a color editing instruction from the user interface device in response to the user selecting a corresponding color editing option from the recommended set; and e) adjusting the original color characteristics to form an adjusted electronic image having adjusted color characteristics based at least in part on the color editing instruction. An apparatus for editing color characteristics of an electronic image is also provided.

Abstract: An image enhancement system may generate a net signed fractional modulation value at each location in an image using a modulation strength map (MSM) in combination with a modulation kernel F(?). The system may scale an image value at each location using the net signed fractional modulation value at each location. Application of the algorithm may not result in systematic clipping of peri-edge locations to maximum or minimum brightness values, or any other form of systematic homogenization of values at peri-edge locations.

Abstract: Apparatuses and methods for reading a set of images to merge together into a high dynamic range (HDR) output image are described. Images have a respective HDR weight and a respective ghost-free weight. Images are merged together using the weighted average of the set of input images using the ghost-free weight. A difference image is determined based on a difference between each pixel within a HDR output image and each respective pixel within a reference image used to create the HDR output image.

Abstract: Methods and apparatus may be applied to reconstruct pixel values in saturated regions of an image. Saturated regions are identified and hues for pixels in the saturated regions are estimated based on hues in boundaries of the saturated regions. Gradients for pixel values in saturated color channels within the saturated region may be estimated based on known gradients for non-saturated color channels. Reconstructed pixel values may be derived from the estimated gradients. The methods and apparatus may be applied in conjunction with dynamic range expansion.

Abstract: Disclosed are a device, a method, and a system for enhancing color. The device comprises a unit used to extract a foreground portion from a whiteboard color image to serve as whiteboard contents; a unit used to stretch R, G, and B channel values of each of a plurality of foreground pixels forming the whiteboard contents; a unit used to adjust color tone of each of the foreground pixels; a unit used to adjust a ratio of color saturation degree to color intensity of each of the foreground pixels so as to cause the ratio to approach a ratio expectation value; and a unit used to increase the color saturation degree and the color intensity of each of the foreground pixel so as to cause the two to approach a color saturation degree expectation value and a color intensity expectation value Id, respectively.

Abstract: The chroma of each block is calculated from color difference signals to calculate the number of blocks having chroma equal to or greater than a predetermined threshold from among the blocks that are not part of a detected face area, and to calculate a high-chroma block ratio of the high-chroma blocks (having their chroma equal to or greater than the predetermined threshold), to the number of blocks that are not in the face area. If the average chroma and the high-chroma block ratio match or exceed predetermined values, the scene is discriminated as a vivid color scene. The threshold of the criterion of the high-chroma block ratio is made to be small, if the scene has been discriminated as a vivid color scene in the past, while if the scene has not been discriminated as being such a scene, the threshold is made to be large.

Abstract: An apparatus comprises: a first conversion unit configured to convert a first signal value serving as an output signal of each of a plurality of color materials into a value indicating an amount of each of the plurality of color materials; a control unit configured to control the value indicating the amount of each of the plurality of color materials based on a limit value for a total amount of the plurality of color materials for each pixel; and a second conversion unit configured to convert the value indicating the amount of each of the plurality of color materials that is controlled, into a second signal value serving as a corresponding output value, wherein when the total amount of the plurality of color materials based on the first signal value is not larger than the limit value in a pixel of interest, the control unit outputs the first signal value.

Abstract: A system and method, which may be an offline method, extracts relevant image features about listing items in a network-based publication system for enabling image similarity searching of such listing items. When a seller lists an item, an image of the item is uploaded and may be sent to a picture processing service, which generates several digests. The digests are compressed data structures each representing a particular image feature such as edge, color, texture, or words. These digests are then stored in a search database, where the digests can be used to retrieve listings by image similarity at scale. A similar process can be performed for a query listing for searching the search database for items similar to the query listing.

Abstract: Provided are a color-adjusting method and a non-transitory computer readable medium storing a color-adjusting program. The color-adjusting method is used in converting colors of a first device into colors of a second device. The method includes: using a processor of a color-conversion device to perform: representing the gamut of the second device on a lightness-chroma plane for a hue in a color system; obtaining a limiting value of a total quantity of color material; dividing a region outside the gamut into a high-lightness region and a low-lightness region, and further dividing the low-lightness region into a low-chroma region and a medium-high-chroma region based on a reference point defined according to the limiting value; defining a gamut-mapping angle for each of the resulting divided regions; and mapping out-gamut colors within the gamut of the second device by using the gamut-mapping angle.

Abstract: A two-dimensional code display system has a display unit which can display a two-dimensional code representing predetermined information by plural cells arrange in a matrix, and a control unit which changes the display form of the two-dimensional code. For example, after 0.5 second has elapsed since the display unit starts displaying the image of a logo mark, the control unit controls the display unit to change the display from the image of the logo mark to a two-dimensional code. After 2.0 seconds has elapsed since the display unit starts displaying the two-dimensional code, the control unit controls the display unit to change the display from the two-dimensional code to the image of the logo mark. By repeating such control, the control unit can control the display unit to display alternately the image of the logo mark and the two-dimensional code.

Abstract: In order to prevent an image print and/or an image view from being visually monotonous, if it is determined that there is a similarity between similarity determination target images arranged in a specific area in an album, image processing is performed upon both or either of these similarity determination target images so as to eliminate the similarity between these similarity determination target images.

Abstract: Disclosed are an image processing method and device and an image processing program that are able to perform gradation conversion—that achieves a favorable saturation reproduction when exchanging and reproducing images between devices or between color spaces having different dynamic ranges—by element of having: a first gradation conversion that, when converting gradation characteristics of image data of an image, converts first gradation characteristics using a one-dimensional first lookup table corresponding to the RGB pixel data of the image; and a second gradation conversion that converts the RGB pixel data of the image to chromaticity data and luminescence data or lightness data, and that converts second gradation characteristics of the converted luminescence data or lightness data using a one-dimensional second lookup table corresponding to the luminescence data or lightness data; and then weighting the first gradation conversion and the second gradation conversion.

Abstract: Systems and methods are discussed to separate the specular reflectivity and/or the diffuse reflectivity from an input image. Embodiments of the invention can be used to determine the specular chromaticity by iteratively solving one or more objective functions. An objective function can include functions that take into account the smooth gradient of the specular chromaticity. An objective function can take into account the interior chromatic homogeneity of the diffuse chromaticity and/or the sharp changes between chromaticity. Embodiments of the invention can also be used to determine the specular chromaticity of an image using a pseudo specular-free image that is calculated from the input image and a dark channel image that can be used to iteratively solve an objective function(s).

Abstract: An example method includes interpreting compressed source data to produce a set of representative colors and modulation data. Portions of the modulation data are interpreted as a plurality of vectors. Each vector pertains to a respective region of the image, which has multiple portions, each with elements. Modulation data is interpreted to include vector modifier data. A respective color for each element within a first portion of the region is determined from the set of representative colors, which are combined according to a selected vector (can be a selection made from a subset of the plurality). Colors for elements in other portions of the region are determined by selecting a vector, modifying the vector according to vector modifier data, and applying the modified vector with the set of representative colors to produce colors for elements in the region. Aspects include systems and methods for source data compression and image reconstruction.

Abstract: A method of white balancing an image includes mapping pixels of the image to a color space diagram. Each of the pixels of the image include a red (“R”), a green (“G”), and a blue (“B”) subvalue. A first central tendency of each of the RGB subvalues of pixels mapped in a first pre-defined region of the color space diagram is determined and a second central tendency of each of the RGB subvalues of pixels mapped in a second pre-defined region of the color space diagram is determined. The first pre-defined region is associated with a first illuminating source and the second pre-defined region is associated with a second illuminating source. RGB values of a white pixel are generated based on the first and second central tendencies.

Abstract: An image processing apparatus for performing recovery processing of correcting degradation of an image due to an aberration of an optical imaging system with respect to image data obtained by sensing an object image entering through the optical imaging system using an image sensor, comprises: a selection unit configured to select a filter to be used for recovery processing in accordance with an image sensing condition at the time of the image sensing; an image processing unit configured to perform recovery processing for the image data by using the filter selected by the selection unit; and a correction unit configured to determine a correction value based on a difference between the value of a pixel before and after recovery processing by the image processing unit, and correcting the pixel value before the recovery processing by the image processing unit using the determined correction value.

Abstract: An image processing device can explicitly distinguish cells to be observed from cells other than those to be observed with a simple configuration. To this end, the image processing device includes a color information obtaining part obtaining at least hue from color information of each pixel of a color image, a detecting part detecting a mode value of the hue on a color space, a range setting part setting a predetermined range on the color space including the mode value of the hue detected by the detecting part as a target range, a changing part changing hue of a pixel included in the target range by virtually performing extension on the target range, and an information converting part converting color information of a pixel having hue not included in the target range into color information indicative of an achromatic color.

Abstract: A method and system operative to process color image data are disclosed. In one embodiment, the method can comprise the steps of receiving color image data, determining the color ranges to be applied to the color image data, assigning each of the pixel positions in the image data a color range, assigning a different spatial binary pattern to each color range, and assigning each of the pixel positions a binary output pixel value that corresponds to the spatial binary pattern assigned to the color range assigned to that pixel position. The resulting binary image data can be written to a file for subsequent storage, transmission, processing, or retrieval and rendering. In other embodiments, a system can be made operative to accomplish the same.

Abstract: A plurality of images are used as input images. On the basis of a degree of similarity to an input image group and an evaluation of the quantity of edges of an overall image, a new image is generated. An image processing method may comprise calculating a specified color characteristic degree indicating a degree of similarity between a pixel color of a generated image predicted from the input image group and a specified color that has been specified beforehand, and for, on the basis of the specified color characteristic degree, modifying a weight corresponding to the edge quantity of each pixel within the generated image, and generating an image wherein the manner of reproduction of edges of areas of the specified color differs from other regions.

Abstract: Cell phones and other portable devices are equipped with a variety of technologies by which existing functionality is improved, and new functionality is provided. Some aspects relate to imaging architectures, in which a cell phone's image sensor is one in a chain of stages that successively act on instructions/data, to capture and later process imagery. Other aspects relate to distribution of processing tasks between the device and remote resources (“the cloud”). Elemental image processing, such as filtering and edge detection—and even some simpler template matching operations—may be performed on the cell phone. Other operations are referred out to remote service providers. The remote service providers can be identified using techniques such as a reverse auction, though which they compete for processing tasks. Other aspects of the disclosed technologies relate to visual search capabilities, and determining appropriate actions responsive to different image inputs.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for the orientation of the bi-illuminant chromaticity plane and calculating an orientation for each one of the image locations as a function of the set of estimates for the orientation.

Abstract: Provided is a method of chromaticity adjustment of a display device including a drive circuit for generating a gray-scale signal corresponding to a video signal input from an external portion and supplying the gray-scale signal to a plurality of pixels, the method including: measuring chromaticity coordinates of an image displayed on the display device; determining whether the measured chromaticity coordinates are chromaticity coordinates within a first region that does not need a chromaticity correction or chromaticity coordinates within a second region that needs the chromaticity correction; determining, if the measured chromaticity coordinates are the chromaticity coordinates within the second region, which of a plurality of correction regions obtained by dividing the second region the chromaticity coordinates fall within; correcting the gray-scale signal corresponding to the video signal by using a chromaticity correcting portion corresponding to the determined one of the plurality of correction regions;

Abstract: An image forming apparatus not having a spot color printing function and connected a network cannot print out a proper image from image data which is already processed for spot color and stored in an image forming apparatus having a spot color printing function. When the image data subjected to the spot color process is stored in the image forming apparatus having the spot color printing function, difference information is stored together with the image data subjected to the spot color process. In order to print the data by a four-color output type of image forming apparatus not having the spot color printing function, the data is restored into four-color image data on the basis of the difference information, and the four-color image data is transmitted to the image forming apparatus not having the spot color printing function.

Abstract: Some embodiments provide a computer program for performing a color matching operation. The computer program identifies first and second images. Each image includes several pixels. Each pixel includes a luma component value. Based on analysis of the luma component values of the pixels of the first and second images, the computer program determines a set of transforms to modify pixel values of the first image so that the pixel values of the first image are similar to pixel values of the second image. The computer program applies the set of transforms to the first image such that the pixel values of the first image are similar to the pixel values of the second image.

Abstract: In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, calculating a set of log-chromaticity cluster maps, each based upon an estimate for an orientation of the bi-illuminant chromaticity plane selected from a set of estimates and including a cluster for each one of the image locations, and merging the set of log-chromaticity cluster maps to obtain a single, merged log-chromaticity cluster map.

Abstract: A method of generating three dimensional body data of a subject is described. The method includes capturing one or more images of the subject using a digital imaging device and generating three dimensional body data of the subject based on the one or more images.

Abstract: An image processing apparatus includes: a color feature data calculation unit configured to calculate color feature data of each pixel in an intraluminal image or color feature data of each small region obtained by dividing the intraluminal image into a plurality of small regions; a residue candidate distribution determination unit configured to determine, from among the color feature data, color feature data distributed on a side comparatively strong in redness to be a mucosa distribution and determine color feature data distributed on a side comparatively weak in redness to be a residue candidate distribution; and a residue distribution determination unit configured to determine, from among distributions of the color feature data determined to be the residue candidate distribution, a residue candidate distribution distributed on a side strong in yellowness with reference to the mucosa distribution to be a residue distribution.

Abstract: A method for dynamically displaying results of simultaneous two dimensional image search comprises: maintaining a first database comprising a set of records, each record comprising an image and an associated set of annotations describing the image, receiving an annotation criterion and a color scheme from a user, generating a target color scoring template from the color scheme, conducting a content based search by searching the first database to identify a set of pertinent images satisfying the annotation criterion, and performing the following operations for each image in the set of pertinent images: resizing a given image to a predefined size before generating an image color spectrum histogram for the given image, adding the given image to a pool of acceptable images if the generated image color spectrum histogram matches with the target color scoring template; and dynamically displaying images in the pool of acceptable images to the user.

Abstract: Generating by a digital processing device, of a first digital image from a second digital image, by: for each pixel of the second image, determining a pixel luminance; dividing the interval ranging from the lowest to the highest luminance into a plurality of sub-intervals; and determining the value of at least one pixel of the first image by multiplying the value of a pixel of the second image by a gain determined by interpolation by taking into account the distance of the pixel luminance of the second image to the limits of the sub-interval containing this luminance.

Abstract: An image processing apparatus which converts input image data into a designated color, the apparatus comprises a designation unit which accepts a designated color from a user; a holding unit which holds a representation color of a block, a color layout of pixels included in the block, and an other color contained in the block except for the representation color, the block being generated by compression and including a predetermined number of pixels that form the image data; and a color conversion unit which mono-colorizes the block into the designated color by converting at least one of the representation color and the other color into the designated color designated with the designation unit in accordance with the color layout.

Abstract: A method for removing defective pixels using a signal processing scheme with a Bayer pattern, by determining an output value of the inter-channel according to whether or not a difference between a center pixel and an average of neighboring pixels, which have the same color as that of the center pixel, is greater than or equal to a threshold value; and using values of neighboring pixels nearest to a center pixel as an input, obtaining an output value of the cross-channel by finding a median value among a median value of vertical and horizontal lines including the center pixel, a median value of diagonal lines including the center pixel, and a value of the center pixel. Then, a defective pixel is removed, through the use of the output value of the inter-channel, the output value of the cross-channel, and the value of the center pixel.

Abstract: An image processing apparatus determines whether a color image is formed by reading an original with a reading unit or input from an external apparatus, and sets a conversion method for converting the color image into a monochrome image such that when an image obtained by monochrome converting the color image is output onto a recording medium, security information included in the color image is difficult to be discriminated by human eyes, if the color image is formed by reading an original. If the color image is input from the external apparatus, the image processing apparatus sets a monochrome conversion method selected by a user. The apparatus then converts the color image into a monochrome image by the set monochrome conversion method.

Abstract: A method and system for mapping color gamuts based on one-one and onto mapping function in order to create an invertible transform is disclosed. A hue leaf associated with at least two arbitrary color gamuts can be defined utilizing a vector math function and a most saturated point with respect to each hue leaves can be determined. A safe area relative to an intersection point can be estimated by approximating the most saturated point in both hue leaves. An upper hull and a lower hull associated with the hue leaves can be continuously sub-divided with an equal number of sections by constructing one or more vectors. An appropriate section for computing a vector relationship in the color gamut can be determined in order to map the color gamuts based on the continuous, one-one and onto function thereby creating an invertible transformation.

Abstract: A document image processing system includes an extraction portion, an estimation portion, a calculation portion, a substitution portion, and a generation portion. The extraction portion extracts first and second document elements of an inputted document image and a preprint data. The estimation portion estimates first and second representative colors due to first and second document elements in a color space, respectively. The calculation portion calculates first and second planes to separate the color space into first and second sub-spaces which each includes each of the first and second representative colors, respectively. The substitution portion substitutes a color of a first pixel of the first document elements with the first representative color and a color of a second pixel of the second document elements with the second representative color. The generation portion subtracts each of the substituted first pixel from each of the substituted second pixel to generate a difference image.

Abstract: A hardware-implemented function evaluator performs mathematical calculations at high speeds to generate data values in place of an LUT. The disclosed embodiments can generate a small number of output values from a large number of input values. The calculations can use functions that are monotonically increasing such as, for example, square root, power curves, and trigonometric functions.

Abstract: A fluoroscopy apparatus including: an illumination unit having a light source radiating illumination light and excitation light onto an observation target, a fluorescence-imaging unit acquiring a fluorescence image by imaging fluorescence generated at the observation target by the excitation light, a white-light-imaging unit acquiring a reference image by imaging light returning from the observation target by the illumination light, and an image-correction unit obtaining a correction fluorescence image by raising the luminance value of the fluorescence image to the power of a reciprocal of a first and second exponent obtained by a power approximation of a distance characteristic of luminance versus observation distance, for the fluorescence image, and that obtains a corrected fluorescence image by dividing the correction fluorescence image by the correction reference image.

Abstract: Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. An input HDR image is separated into luminance and color. Luminance is processed to obtain a base layer and a detail layer. The base layer is compressed according to a non-linear remapping function to reduce the dynamic range, and the detail layer is adjusted. The layers are combined to generate output luminance, and the output luminance and color are combined to generate an output image. A base layer compression technique may be used that analyzes the details and compresses the base layer accordingly to provide space at the top of the intensity scale where the details are displayed to thus generate output images that are visually better than images generated using conventional techniques. User interface elements may be provided via which a user may control one or more parameters of the tone mapping method.

Abstract: Systems, methods and apparatus for image processing by classifying pixels are described. In some systems, an exposure control operation is performed according to the pixel classifications. In some cases, the pixels are classified according to a predetermined segmentation of a color space, based on predicted sensor responses.

Abstract: An image display device includes a creation unit configured to calculate histogram data before correction that indicates a luminance distribution from an input image data; a clip processing unit configured to set a value of the number of pixels of a tone to an upper threshold when the tone among tones of luminance values in the histogram data; an addition unit configured to add a value of the number of pixels based on a difference between the upper threshold and a value of the number of pixels for each tone that is set to the upper threshold in the histogram data before correction to a value of the number of pixels of at least a part of tones that are present between a first luminance value and a second luminance value and to output obtained corrected histogram data; and a correction unit configured to correct the input image data.