Abstract: The present invention provides a method for enhancing contrast of a color image displayed on a display system and an image processing system utilizing the same. In the present invention, the gray values of R, G, and B components of one color image are separately counted during processing the image. When calculating the corresponding output values for the gray values of R, G, and B components in each pixel, they are adapted to ratios between the gray values of R, G, and B components. Therefore, the present invention can effectively maintain the color distribution for a considerable degree and greatly enhance the image contrast.

Abstract: Systems, apparatus, articles, and methods are described including operations for color enhancement via gamut expansion.

Abstract: Method and apparatus for preparing and displaying images uses image characteristics of an area of interest of images to optimize or otherwise determine image characteristics of the entire image to be displayed. The area of interest information may be used in computing a System Synchronized Backlight Control (“SSBC”) profile for the area of interest, and the SSBC profile may be used to adjust the image signal to provide an image in which the image characteristics, e.g., are optimized for the image at the area of interest. The image characteristics and/or SSBC profile information may be provided as metadata included in a video signal data stream. The area of interest may be selected where the image is obtained, where the image is shown or elsewhere, e.g., in an image storage device, image player, etc.

Abstract: Systems, articles of manufacture, and methods for generating an equalized image using properties of the two-dimensional Weibull distribution.

Abstract: A method for processing an image to generate a signature which is characteristic of a pattern within said image. The method comprising receiving an image; overlaying a window at multiple locations on said image to define a plurality of sub-images within said image, with each sub-image each having a plurality of pixels having a luminance level; determining a luminance value for each said sub-image, wherein said luminance value is derived from said luminance levels of said plurality of pixels; and combining said luminance values for each of said sub-images to form said signature. Said combining is such that said signature is independent of the location of each sub-image. A method of creating a database of images using said method of generating signatures is also described.

Abstract: A digital image including a plurality of pixels is processed. Each pixel has at least one colorimetric component. The processing of the image includes processing for each pixel of a group of pixels of the image and for each colorimetric component of the pixel. In this processing, a modification is made to the value of the colorimetric component so as to obtain a modified value situated inside or outside a colorimetric range. A comparison is made of the modified value to the upper and lower limits of the associated colorimetric range. If the corrected value is outside the associated colorimetric range, a corrected value equal to an additional value is assigned to the corresponding colorimetric component of the pixel. The additional value is chosen to be unique and included in the associated colorimetric range and different from the values of the limits of the associated colorimetric range.

Abstract: A method and apparatus are provided for enhancing the readability of a character. The method includes determining ambient light of a mobile terminal and controlling background color and character color of a character image according to the determined ambient light. The method may further include performing an additional control according to the types of displays when controlling the background color and character color. Through this, it is possible to display a character image with enhanced visibility, while minimizing current consumption.

Abstract: Embodiments of the present invention comprise systems, methods and devices for display-mode-dependent adjustment of image code values.

Abstract: An image processing method includes inputting input image data captured by an imaging unit, generating an input histogram of the input image data based on the input image data, and correcting the input image data based on noise characteristics data and the input histogram, wherein the noise characteristics data includes data indicating probability of a first characteristic value becoming a second characteristic value due to noise.

Abstract: In order to solve the problem that the resolution of a back-scattered electron image without a contrast difference between materials with close atomic numbers is low, an image processing apparatus that performs an image process on a back-scattered electron image as an input image includes: a material peak detection unit that determines a peak luminance value with a peak of a frequency of a luminance histogram based on a luminance value obtained for each measurement position by using the input image as an input and information about material-dependent back-scattered electron generation efficiency, and that outputs the peak luminance value for each material; and an image information adjustment unit that emphasizes a material-dependent contrast on the basis of the input image and the peak luminance value for each material.

Abstract: Display methods and interfaces for high dynamic range images. High dynamic range images and corresponding histograms are displayed on a display device. The histogram panel displays low dynamic range and high dynamic range data of the images simultaneously. The low dynamic range and high dynamic range data is brightness level of the image pixels.

Abstract: Embodiments of the present invention comprise systems, methods and devices for increasing the perceived brightness of an image. In some embodiments this increase compensates for a decrease in display light source illumination.

Abstract: A dynamic range-adjustment apparatus is provided. The apparatus includes: an input unit for receiving an original image; an histogram equalization unit, coupled to the input unit, for performing contrast enhancement on the original image to produce a contrast-enhanced image; a factor-determination unit, coupled to the input unit and the histogram equalization unit, for determining a first factor based on the gray level of a pixel of the original image and the tone of the corresponding pixel of the contrast-enhanced image; and an adjustment unit, coupled to the input unit, the histogram equalization unit and the factor-determination unit.

Abstract: A method and a system for fusing images in an image processing field are described. The method includes: capturing at least two frames of images having different intensity under different exposure time in the same scene; fusing the images having different intensity values according to an intensity mapping relation between every two frames of images in the images having different intensity values, and obtaining a fused image is, in which the intensity mapping relation represents a corresponding relation between an intensity value of a pixel location in a bright image and that at the corresponding location in a dark image. Through the method and the system for fusing the images according to the present invention, the dynamic range of the image is enhanced, and the fusing process has a desired result and is easy to implement.

Abstract: A method and system for calculating oblong-shape rotation angles from optical image data of arbitrary size for user interface applications is described without the need of eigenvector routines and storage of the image data. The oblong shape may be of arbitrary size and location and need not be precisely elliptical. A few running sums are calculated and stored throughout each scan, and the results are obtained in closed form by simple post-scan computation. An algorithmic embodiment can execute on one or more hardware processors with limited or otherwise constrained computation power, available instruction cycles, available memory, etc. Hardware processors may CPUs found in desktops, laptops, tablets, or handheld computing devices. The resulting arrangement may be used for touch or optical user interfaces and other purposes.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: A method of processing a digital image, said image comprising a plurality of pixels, the method comprising a computation step (S1) wherein a histogram of the distribution of the number of pixels of the image as a function of their luminance is computed, a step (S2) for lightening the image based on said histogram comprising a subdivision (S20) of the pixels of the image into a first set of pixels having luminance values between a low threshold and a high threshold and into a second set of pixels having luminance values greater than said high threshold, a first luminance processing operation (S21) on the pixels of the first set of pixels and a second luminance processing operation (S22) on the pixels of the second set of pixels, the two luminance processing operations (S21, S22) being different, the first processing operation (S21) comprising an increase in the luminance of the pixels of the image.

Abstract: What is disclosed is a system and method for estimating color for pixels in an infrared image. In one embodiment, an infrared image is received which has been captured using a N-band infrared imaging system comprising a multi-spectral camera or a hyperspectral camera. The IR image is composed of an array of pixels with N intensity values having been collected for each pixel in the image. Then, for each pixel of interest, a search metric is used to search a database of vector samples to identify a visible-IR set which is closest to the intensity values of the IR band vector collected for the pixel. A visible vector representation is then estimated for the pixel based upon the visible portion corresponding to the closest visible-IR set. Thereafter, color coordinates for this pixel are computed from the visible vector. The method repeats for all pixels of interest in the IR image.

Abstract: According to one embodiment, a binarized threshold value determination device includes, a creating unit, an average gray level value calculation unit, a parameter calculation unit, a correction unit, a selection unit, and a determination unit. The correction unit configures to correct the gray level value of the gray level histogram on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit. The selection unit configures to select a temporary threshold value from the gray level histogram of which the gray level value is corrected in the correction unit. The determination unit configures to determine a threshold value for binarizing each of the pixels by performing an inversion correction with respect to the temporary threshold value which is selected in the selection unit, on the basis of the gray level conversion parameter which is calculated in the parameter calculation unit.

Abstract: Methods and apparatuses to varying the apparent brightness of a display are described. The change in apparent brightness is accompanied by unchanged in relative contrast, rendering a display with higher or lower brightness while maintaining contrast fidelity. In exemplary embodiments, the signals for the middle tone levels are adjusted to increase or decrease the brightness intensity, while keeping constant the gamma correction. This maintains the relative contrast of images while rendering them at a different brightness. Implementations of the present process include an adjusted gamma correction lookup table, incorporated in the video card to modify the video signal before reaching the display. The present invention can be used for matching the brightness of two or more displays or to provide compensation for variations in display characteristics to ensure consistency in display brightness within a data processing model.

Abstract: A method including the steps of obtaining an original image, generating a converted image by converting a gradation of a pixel of the original image into a prescribed gradations for an image forming apparatus to express, outputting a dot pattern image through a nozzle based on a predetermined dot pattern signal, generating nozzle characteristic information of the nozzle based on the dot pattern image, generating simulation information based on the converted image and the nozzle characteristic information, generating converted simulation information by converting the simulation information to the same gradation as that of the pixel of the original image, comparing the converted simulation information with the original image, and calculating an error between the original image and the converted simulation information.

Abstract: Image forming apparatus (100) creates a toner pattern on intermediate transfer belt (11) as a preprocessing of gradation correction, and calculates a cycle at which density unevenness is largest. Then, a toner image for gradation correction is formed so as to cancel cyclic unevenness at a cycle at which the largest density unevenness occurs. As a result of this, it becomes possible to suppress the deterioration of density detection accuracy and perform a highly accurate gradation correction even if density unevenness of any cycle occurs.

Abstract: A scaling device for receiving and scaling a digital image signal includes a scaling module and a data quantity control logic. The scaling module scales the digital image signal and then outputs a scaled output signal according to a scaling ratio. The data quantity control logic controls output quantity of the scaled output signal according to a scaling ratio. Thus, when the data quantity outputted from the scaling module is controlled within the data quantity that may be processed by the post stage of the scaling module per unit time, the data quantities that may be processed per unit time in the post stage processing devices of the scaling module approximate a constant value such that the post stage processing speed of the scaling module may be increased.

Abstract: An image processing apparatus includes a histogram computation section that for a plurality of images with different light exposure amounts captured, computes for each of the images a histogram of the number of pixels a light exposure amount ratio computation section that, based on a degree of similarity between a profile of a first histogram computed from a first image out of the plurality of images and a profile of a second histogram computed from a second image out of the plurality of images, computes as a light exposure amount ratio a ratio between a light exposure amount for the first image and a light exposure amount for the second image, and a pixel value adjustment section that adjusts the pixel values of pixels contained in one image out of the first image and the second image based on the light exposure amount ratio.

Abstract: The appearance of image details can be preserved and/or enhanced by applying contrast adaptive gain to the high spatial frequency component of the luminance information. The image details in bright and/or dark regions can be further boosted by applying a local mean adaptive gain. The contrast transfer mapping curve for luminance contrast enhancement can be re-scaled to account for the applied gain. The re-scaling may be performed from frame to frame of displayed video. The re-scaling may be temporally controlled for subsequent frames to make the re-scaling change gradually to prevent flickering.

Abstract: A method of enhancing an image. This includes the steps of: dividing the image into multiple tiles and constructing a histogram for each tile, wherein the histogram represents a distribution of pixel intensity values in each tile. In addition, the method applies a bias value to the histogram and a plateau value to the histogram. A cumulative histogram is constructed after applying the bias value and the plateau value to the histogram. The method transforms each pixel in the image, by weighing four cumulative histograms, respectively, in four adjacent and closest tiles to the pixel under consideration. The pixel under consideration is modified based on a weighted cumulative histogram.

Abstract: A method of enhancing an image includes: dividing the input image into multiple tiles; and constructing a respective histogram for each respective multiple tile. The method further includes: dividing each respective histogram into multiple portions, in which each portion represents a count of pixels spanning across pixel intensity value bands. The method also includes: constructing a respective cumulative distribution function (CDF) for each of the multiple portions; and transforming each of the multiple portions using the respective CDF. Each histogram may be divided, as an example, into two portions.

Abstract: There is provided a video processing apparatus comprising a motion vector detection unit for detecting data on the motions of objects by using at least two frames, an interpolation frame generation unit for generating interpolation frames in the horizontal/vertical and temporal directions in accordance with the motion vectors obtained by the motion vector detection unit, and an image feature detection unit for detecting the features of motions extended over the at least two frames, wherein the procedures, performed by the image feature detection unit, of generating interpolation frames in the horizontal/vertical and temporal directions are switched over in accordance with the features of motions.

Abstract: There is provided an image processing apparatus which can suppress degradation of an image quality in a recording material save mode processing and obtain an effect of consumption amount reduction of recording material desired by a user at low costs. A recording material consumption amount at the time of applying first color conversion processing unit is predicted corresponding to inputted image data. The setting of a second color conversion processing is changed from a prediction value and a target value of the recording material consumption amount.

Abstract: A method of measuring a step height of a device using a scanning electron microscope (SEM), the method may include providing a device which comprises a first region and a second region, wherein a step is formed between the first region and the second region, obtaining a SEM image of the device by photographing the device using a SEM, wherein the SEM image comprises a first SEM image region for the first region and a second SEM image region for the second region, converting the SEM image into a gray-level histogram and calculating a first peak value related to the first SEM image region and a second peak value related to the second SEM image region, wherein the first peak value and the second peak value are repeatedly calculated by varying a focal length of the SEM, and determining a height of the step by analyzing a trend of changes in the first peak value according to changes in the focal length and a trend of changes in the second peak value according to the changes in the focal length.

Abstract: A method for tone mapping a high dynamic range image of a large terrestrial area into a lower dynamic range image uses a globally aware, locally adaptive approach whereby local tonal balancing parameter values are derived from known tone mapping parameters for a local 3×3 matrix of image tiles and used in turn to derive a local sigmoid transfer function for pixels in the tile in the middle of the matrix. A global sigmoid transfer function is derived based on values of the tone mapping parameters applicable to the entire image. A lower dynamic range image pixel will have a local tone mapped value and a globally tone mapped value, which are combined by giving each a weighted value to provide a final low dynamitic range pixel value.

Abstract: An image processing device (100) includes: a luminance distribution information preparation section (110) for preparing a luminance histogram in which each luminance range serves as a class, by counting the number of pixels belonging to each luminance range; a weight correction section (120) for generating, for each luminance range, a weighting value which is proportional to a corresponding class value; and an image processing section (140) for correcting a luminance value of each pixel so that a difference between a maximum luminance value and a minimum luminance value in the luminance range is determined by an increasing function with respect to both (i) a frequency of the luminance range and (ii) a weighting value of the luminance range.

Abstract: A local contrast enhancement method transforms a first plurality of color components of a first visual color image into a modified brightness component by using a first transformation. The first plurality of color components are in a first color space. The modified brightness component is a brightness component of a second color space. The second color space also includes a plurality of chromatic components. The method transforms all the color components of the first color space into the chromatic components of the second color space. The method then transforms the modified brightness component and the chromatic components of the second color space into a plurality of new color components, in the first color space, of a second visual color image. The method transmits the plurality of new color components to a device such as a display device. The second visual color image has enhanced contrast in comparison to the first visual color image.

Abstract: Three-dimensional (3D) glasses, a method for driving 3D glasses, and a system for providing a 3D image are provided. The 3D glasses driving method includes detecting a first pattern corresponding to a left eye image and a second pattern corresponding to a right eye image from a 3D display apparatus, converting the first pattern into a first histogram and the second pattern into a second histogram, comparing the converted first and second histograms with first and second optimal histograms, and adjusting an opening or a closing of a left eye glasses part and a right eye glasses part of the 3D glasses based on the comparison.

Abstract: [Subject] To offer an image processing device and an image processing method which can obtain a modified image in the real time using FPGA having general processing capacity or hardware circuit of the parallel computation. [Means for Solving the Problems] For determining the brightness of pixel P, block (mine), (Iu), (uu), (II) which overlapped are assumed as calculation object block to determine brightness of pixel P. The ratio of the area of the part that it overlapped in each calculation object block and the area of the calculation object block is calculated. And this ratio is multiplied by the brightness (the brightness after the map) of the tone map of each calculation object block. And adjustment brightness of pixel P is found by adding a multiplication value calculated for each of every calculation object block.

Abstract: A method for applying histogram equalization to an image comprises calculating a histogram of at least one image portion of an input image to obtain histogram data representing the number of occurrences of different brightness values in said at least one image portion. Said histogram data is filled up such that substantially all brightness values have a minimum number of occurrences. A cumulative distribution function is calculated from said filled up histogram data and is equalized in a predetermined range. Finally, said at least one image portion of the input image is remapped based on said equalized cumulative distribution function.

Abstract: A method is described for processing an image to generate a signature which is characteristic of a pattern within the image. The method includes: receiving an image; overlaying a window at multiple locations on the image to define a plurality of sub-images within the image, with each sub-image each having a plurality of pixels having a luminance level; determining a luminance value for each sub-image where the luminance value is derived from the luminance levels of the plurality of pixels; and combining the luminance values for each of the sub-images to form the signature. The combining is such that the signature is independent of the location of each sub-image. A method of creating a database of images using the method of generating signatures is also described.

Abstract: A method and system for calculating oblong-shape rotation angles from image data of arbitrary size using running sums is described without the need of eigenvector routines and storage of the image data. The oblong shape may be of arbitrary size and location and need not be precisely elliptical. A few running sums are calculated and stored throughout each scan, and the results are obtained in closed form by simple post-scan computation. An algorithmic embodiment can execute on one or more hardware processors with limited or otherwise constrained computation power, available instruction cycles, available memory, etc. Hardware processors may CPUs found in desktops, laptops, tablets, or handheld computing devices. The resulting arrangement may be used for touch or optical user interfaces, real-time image recognition, real-time machine vision, and other purposes.

Abstract: An image adjustment method is disclosed. The steps of the method include: receiving an image data having a plurality of original pixels, the number of the original pixels is equal to Num1, and 2N?1?Num1?2N?1, wherein N and Num1 are natural numbers; adding a plurality of expanding pixels to the image data, such that a sum of the original pixels and the expanding pixels is equal to 2N?1; calculating a plurality of cumulative pixel numbers corresponding to a plurality of gray levels, wherein each of the cumulative pixel numbers is not larger than the number of the original pixels and the expanding pixels corresponding to each of the gray levels; and tuning the gray levels of the original pixels according to the corresponding relationship between the gray levels and the cumulative pixel numbers.

Abstract: An image display device capable of supporting brightness enhancement and power control and a method thereof, in which the brightness and contrast are enhanced and the power of a light source is controlled in accordance with the image characteristic. In the image display method, a parameter representative of an input image is calculated from a histogram of the input image, a model corresponding to the input image is selected from a plurality of representative models by analyzing the parameter, and then a brightness controlling function matched with the selected model is selected. The size of each component of a pixel constituting the input image is controlled using the brightness controlling function, and the output image of the pixel whose component size has been controlled is displayed.

Abstract: An image retrieval system, including: an image input section for inputting a retrieval target image; an image data base for storing image data; a retrieval section for retrieving a plurality of images similar to said retrieval target image, by using a feature amount of said retrieval target image from said image data base; a filtering processing section for carrying out filtering processing using a whole image feature amount of another feature amount different from said feature amount of said retrieval target image about said plurality of images, to obtain a filtering result; and an outputting section for outputting said filtering result.

Abstract: Some embodiments of the image editing and organizing application described herein provide an automatic enhancement process that includes a shadow lift adjustment. The process takes an input image and enhances the contrast of darker parts of the image. The process uses a structure histogram to determine an amount of shadow lift adjustment to apply to the image. The process tempers this adjustment based on an International Organization for Standardization (ISO) value of the image.

Abstract: Some embodiments of the image editing and organizing application described herein provide a method of adjusting an image that includes a tonal response curve adjustment stage. In the tonal response curve adjustment stage, the method sets a black point and a white point for a tonal response curve and tempers the settings. The method sets a median point and mid-tone contrast points, ensures that the mid-tone contrast points can increase, but not decrease the mid-tone contrast, and then temper the mid-tone contrast points. The method then adjusts the image according to the tonal response curve generated from the points.

Abstract: A driving apparatus of a backlight module and a driving method thereof are provided. The driving method includes following steps. An image signal is received. A first grayscale mean of a current frame and a second grayscale mean of a previous frame are calculated according to the image signal. A first difference between the first grayscale mean and the second grayscale mean is calculated. A first duty corresponding to the current frame and a second duty corresponding to the previous frame are calculated according to the image signal. When the first difference is smaller than or equal to a backlight flicker threshold, a backlight control signal is generated according to the second duty and a first regulation value. When the first difference is greater than the backlight flicker threshold, the backlight control signal is generated according to the second duty and a second regulation value.

Abstract: Techniques and tools for high dynamic range (HDR) image rendering and generation. An HDR image generating system performs motion analysis on a set of lower dynamic range (LDR) images and derives relative exposure levels for the images based on information obtained in the motion analysis. These relative exposure levels are used when integrating the LDR images to form an HDR image. An HDR image rendering system tone maps sample values in an HDR image to a respective lower dynamic range value, and calculates local contrast values. Residual signals are derived based on local contrast, and sample values for an LDR image are calculated based on the tone-mapped sample values and the residual signals. User preference information can be used during various stages of HDR image generation or rendering.

Abstract: Provided is a face clustering device that detects a face included in an image, detects a direction of the detected face, detects, taking into account the detected direction of the face, a face with a similar feature and forms a collection of pieces of face information showing a feature of this face, narrows down, for each collection of pieces of face information which has been formed, the number of pieces of face information to a number set in advance for each face direction and sets each collection of pieces of face information for which the number has been narrowed down as a unit group, and performs, with the set unit group as a unit, clustering based on pieces of face information included in each unit group.

Abstract: It is an object of this invention to detect a similar picture at high speed with high accuracy from a large-scale picture archive. Previously, a frame is extracted from each picture in a picture archive at fixed time intervals, an image feature quantity is extracted from each extracted frame, and the extracted image feature quantities are clustered, thereby constructing a clustered feature quantity database. A frames search section performs a similar frame search not only for a leading frame of a query picture but also for a subsequent frame, by using the database. A search result integration section checks whether there is a sequence across a plurality of search results and outputs, as a picture similar to the query picture, a segment which is confirmed to be continuous for a certain length or more.

Abstract: One embodiment of the present invention provides a system for applying a bilateral filter to an image. During operation, the system selects a first region within the image which is associated with a first pixel. Next, the system constructs a first histogram using pixel values within the first region. The system then computes a new value for the first pixel using the current value of the first pixel and the first histogram. The system then selects a second region within the image which is associated with a second pixel. Next, the system determines a non-overlapping region between the first region and the second region. The system then constructs a second histogram using the first histogram and pixel values in the non-overlapping region. Next, the system computes a new value for the second pixel using the current value of the second pixel and the second histogram.

Abstract: The invention discloses an image processing apparatus. The image processing apparatus includes an image statistic computation circuitry, a reconfigurable circuitry and a luminance transformation circuitry. The image statistic computation circuitry computes a probability density function corresponding to an inputted image; generates a first luminance histogram by subsampling a luminance histogram related to the probability density function in a first period. The reconfigurable circuitry computes a weighting distribution function according to the first luminance histogram in a second period after the first period; computes a smoothed cumulative density function according to the weighting distribution function in a third period after the second period; computes a gamma transform function in a fourth period after the third period.

Abstract: The present disclosure describes systems, methods, and mediums for adjusting an exposure of a digital image using a histogram. The systems, methods, and mediums may include generating, by a computing device, a histogram associated with plurality of pixels in an image and enabling adjustment of the histogram to generate an adjusted histogram. The systems, methods, and mediums may further include generating, by the computing device, at least one adjusted control setting by adjusting at least one control setting in response to generation of the adjusted histogram and capturing the image in a memory device in response to generating the at least one adjusted control setting.