Abstract: Scalable color balancing techniques for processing images to be presented on displays are described. One technique includes receiving ambient light color information from an ambient light sensor and input image data to be presented via a display coincident with receiving the ambient light color information. The display may have a first white point at a time prior to receiving the input image data. The technique may include determining a second white point for the display based on the input image data and the ambient light color information. The first and second white points may differ from each other. The technique may also include generating one or more chromatic adaptation transforms (CATs) based on the white points. Output image data may be generated based on applying the one or more CATs to the input image data. The output image data may be presented via the display. Other embodiments are described.

Abstract: An electronic apparatus is provided. The electronic apparatus includes an input comprising input circuitry configured to receive an image and a processor configured to detect a skin area from the image to acquire information on a pixel value of a pixel included in the skin area, to acquire information on characteristics of the skin area based on a face area in the skin area, and to process image quality of the skin area based on the information on the pixel value and the information on the characteristics of the skin area. As a result, it is possible to reduce the image distortion of the skin area occurring when only the analysis of the quantitative elements is performed and to improve the image quality preference of the skin area based on the analysis of the qualitative elements in addition to the quantitative elements.

Abstract: An image processing method of highly accurately correcting an optical degradation of an image pickup apparatus while also suppressing adverse effects is provided. The image processing method includes a step of obtaining a partial area of an input image shot by using an image pickup apparatus, a step of obtaining previously learnt correction information varying in accordance with a position of the partial area, and a correction step of generating a corrected partial area in which an optical degradation of the partial area caused by the image pickup apparatus is corrected by using the partial area and the correction information.

Abstract: An image processing apparatus includes a first extraction unit configured to extract an object included in image data, a second extraction unit configured to extract a highlight region of the object extracted by the first extraction unit, a generation unit configured to generate a lightness histogram of pixels in a region including the highlight region extracted by the second extraction unit and a region around the highlight region in the object, and a decreasing unit configured to decrease the lightness of the pixels, except for the highlight region, based on the lightness histogram generated by the generation unit. The first extraction unit, the second extraction unit, the generation unit, and the decreasing unit are implemented by at least one of a processor and a circuit.

Abstract: An image converting method and image converting device that are able to properly reproduce the appearance of the original image even in an environment having different brightness. The image converting method includes a JND corresponding value width acquisition step of, on the basis of input image data, acquiring a JND corresponding value width corresponding to a reflectance component of the input image data, a luminance width acquisition step of acquiring a luminance width corresponding to the JND corresponding value width or a value obtained by converting the JND corresponding value width in accordance with a predetermined rule using, as a reference, a second reference luminance different from a first reference luminance.

Abstract: The image processing apparatus 104 includes a processor performing a noise reduction on at least part of an input image produced by image capturing using an image capturing system 101, 102, and an acquirer acquiring first information on an optical characteristic of the image capturing system. The optical characteristic indicates a factor that degrades information of an object space in the image capturing of the input image. A processor changes a process of the noise reduction depending on the first information.

Abstract: An image processing apparatus includes a first composition unit which generates a first HDR image by applying a first gamma to each of a plurality of images different in exposure amount and composing the plurality of images after the application of the first gamma, a determination unit which determines whether one preset image among the plurality of images includes a light region satisfying a preset condition, a generation unit which generates, based on the light region, map data for discriminating the light region, a dark region, and an intermediate region, and a second composition unit which generates a second HDR image by applying a second gamma to one of the plurality of images, and composing, with reference to the map data, an image obtained by applying the second gamma and the first HDR image data.

Abstract: The present disclosure relates generally digital watermarking and data hiding techniques. One claim recites a method comprising: obtaining data representing imagery; using one or more configured processors, transforming the data into a multi-channel color space; obtaining information indicating an impact of adding a color channel encoded signal to a color direction of the data; determining a color space direction for encoded signal detection; obtaining weighting factors based on the information indicating an impact of adding a color channel encoded signal; weighting the color channel encoded signal with weighting factors to yield a modified color channel encoded signal; using one or more configured processors, embedding the modified color channel encoded signal in the data representing imagery. Of course, other claims and combinations are provided as well.

Abstract: An image processing apparatus comprises: an image generation unit configured to generate one or more reduced images based on an input image, the input image and the reduced images forming hierarchized images; a gain map generation unit configured to generate a gain map for each hierarchical level by applying a first tone characteristic to each of the hierarchized images and also further applying a second tone characteristic to at least one of the reduced images; and a composing unit configured to compose the created gain maps to generate a composed gain map, wherein the gain map generation unit applies, for each subject region, the first tone characteristic and the second tone characteristic to the at least one of the reduced images, and wherein the first tone characteristic and the second tone characteristic are mutually different tone characteristics.

Abstract: A target file includes: object data including pixels indicative of coordinate values in a first color space; and an input-side profile including data for converting coordinate values from the first color space into a specific color space. A color conversion is executed onto object data to generate post-conversion data including pixels indicative of coordinate values in a second color space. The executing color conversion includes executing judgment to judge, based on the input-side profile, which of first type post-conversion data generated through first type conversion using the input-side profile and an output-side profile, and second type post-conversion data generated through second-type conversion using prescribed data, should be used to output an image of the target file. The prescribed data is for conversion from the first color space into the second color space. The output-side profile contains data for conversion from the specific color space into the second color space.

Abstract: Transmission video data is obtained by performing photoelectric conversion on input video data having a level range of 0% to 100%*N (N is a number larger than 1). A container including a video stream obtained by encoding the transmission video data is transmitted. Information of an electro-optical conversion characteristic of each predetermined unit of the transmission video data is inserted into a layer of the video stream and/or a layer of the container. For example, a predetermined unit is a scene unit or a program unit. The operations make it possible to perform appropriate photoelectric conversion on HDR video data according to image content and transmit resulting data.

Abstract: An image pickup apparatus includes: an image pickup device that includes pixels in a predetermined color array and is configured to be able to acquire a plurality of color array images corresponding to the color array through pixel shift; a chromatic aberration correction processing section configured to receive the plurality of color array images and to perform chromatic aberration correction processing on each of the plurality of color array images; a pixel shift composition processing section configured to perform pixel shift composition processing on the plurality of color array images that are subjected to the chromatic aberration correction processing by the chromatic aberration correction processing section, to acquire a pixel shift high-resolution image; and a demosaicking processing section configured to perform demosaicking processing on the pixel shift high-resolution image.

Abstract: Provided are a display device and an image processing method thereof. The display device according an embodiment includes a display panel including pixels formed of red, green, blue, and white sub pixels, an image processing unit that converts a three-color input image supplied to the red, green, blue, and white sub pixels into four-color image data, calculates a color contrast ratio using a luminance weight and a hue weight by scaling luminance and hue values of the input image, and outputs an output image by considering the color contrast ratio, and a timing controller which aligns and outputs the output image from the image processing unit.

Abstract: GUI of an image processing device according to the present invention is a control window which receives a change of an input parameter of spatial tone correction processing and receives an operation of changing five input parameters. In GUI, first input parameters such as a correction method, correction strength, a degree of color enhancement, brightness, and a correction range can be set. The correction method is selected through pull-down menu, and any one or a plurality of methods can be selected from four correction methods such as contrast enhancement, backlight correction, dark-portion correction, and bright-portion correction. The correction strength, degree of color enhancement, brightness, and correction range are designated through slide-bars of which values are respectively set by a user moving sliders within the window in a transverse direction. Value displays display designated values of the correction strength, the degree of color enhancement, the brightness, and the correction range.

Abstract: A mobile terminal that includes a camera; a display unit; and a controller configured to: control the camera, display a preview screen on the display unit, obtain a first image through the camera while displaying the preview screen, obtain a second image in response to receiving a first input, generate a background image using the first image, combine the background image and the second image to generate a combined image, store the combined image, and display, on the display unit, the combined image, in response to receiving a second input is disclosed.

Abstract: Described is a blind sensing system for hyperspectral surveillance. During operation, hyperspectral data is captured using a hyperspectral camera as mounted on a mobile platform. The system then forms a signal mixture of a plurality of multi-dimensional signals. The multi-dimensional signals being the captured hyperspectral data of a wide area having a background and an object. The plurality of multi-dimensional signals are then demixed using blind source separation, resulting in separated spectra. Finally, the system detects and recognizes a spectral signature of the object in the separated spectra.

Abstract: A color-edge contrast preserver includes a demosaicing module, a color-correcting module, a converter module and a chromatic-denoising module. The demosaicing module may demosaic a red-white-blue (RWB) pixel image of the image. The color-correcting module may color correct the demosaiced RWB pixel image and may produce a red-green-blue (RGB) pixel image from the color-corrected demosaiced RWB pixel image. The converter module to convert the RGB pixel image to a hue-saturation-value (HSV) pixel image and to generate a similarity kernel ?Y. The chromatic-denoising module may denoise a red pixel image and a blue pixel image of the RWB pixel image using the similarity kernel ?Y.

Abstract: Methods, systems, and computer programs for improved quality video compression. Image quality from MPEG-style video coding may be improved by preserving a higher number of bits during intermediate encoding and decoding processing steps. Problems of inverse discrete cosine transform (IDCT) mismatch can be eliminated by exactly matching the IDCT function numerical algorithm of the decoder to the IDCT function numerical algorithm used for the decoding portion of the encoder. Also included is an application of high precision compression to wide dynamic range images by extending the range of the “quantization parameter” or “QP”. The extension of QP may be accomplished either by increasing the range of QP directly, or indirectly through a non-linear transformation. Also included is an application of extended intermediate processing precision and an extended QP range to reduced contrast regions of an image to extend the precision with which the low-contrast portions are compression coded.

Abstract: A camera module, an electronic device and a method of operating the same are provided. The camera module includes a lens module including lenses, and a sensor module including an image sensor configured to sense an image input through the lens module and a logic unit configured to process the image from the image sensor and the logic unit stores a lens-customized point spread function pre-estimated to correct blur characteristics of the lenses within the lens module.

Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.

Abstract: An optical element may be arranged, relative to an observer, in front of first and second displays. The optical element may include a prism array in which multiple prisms are arranged in series. The optical element may refract light rays incident into one or more prisms toward a viewing direction of the observer in front of the optical element. Virtual images generated by the refracted light rays may generate a floating hologram in the viewing direction of the observer. The virtual images corresponding to the images output from the first display and the second display may be generated between the optical element and the displays. That is, the observer may perceive the virtual images corresponding to the images output from the first display and the second display by the refracted light rays toward the viewing direction of the observer when the observer sees the images through the optical element.

Abstract: A method and apparatus of coding using multiple coding modes with multiple color spaces are provided. For the encoder side, a coding mode is selected from a coding mode group. A corresponding color domain is associated with the coding mode and the corresponding color domain is selected from a color-domain group including at least two different color domains. The current coding unit is then encoded in the corresponding color domain using the coding mode. Furthermore, the syntax of the corresponding color domain is signaled in current coding unit syntaxes. The different color domains may include RGB color domain and YCoCg color domain. According to another method, if the midpoint prediction (MPP) mode is selected, a current block is color transformed into another color domain and the MPP coding process is performed in said another color domain.

Abstract: Transmission video data is obtained by performing photoelectric conversion on input video data having a level range of 0% to 100%*N (N is a number larger than 1). A container including a video stream obtained by encoding the transmission video data is transmitted. Information of an electro-optical conversion characteristic of each predetermined unit of the transmission video data is inserted into a layer of the video stream and/or a layer of the container. For example, a predetermined unit is a scene unit or a program unit. The operations make it possible to perform appropriate photoelectric conversion on HDR video data according to image content and transmit resulting data.

Abstract: The present disclosure relates to a driving method and a driving device of display panels. The driving method includes: obtaining three-color sub-pixel data of each of pixels of a current image; obtaining a saturation value and a Chroma value corresponding to each of the pixels; determining if the saturation value corresponding to each of the pixels is within a predetermined range; obtaining a white-grayscale-added value in accordance with the Chroma value corresponding to the pixel, adopting the white-grayscale-added value as a white grayscale value of the four-color sub-pixel data corresponding to the pixel, and outputting the white grayscale value to the display panel upon determining the saturation value corresponding to the pixel is within the predetermined range. In this way, the brightness of the pure-color image displayed on the display panel may be enhanced, and there is no darker issue when the pure-color image is displayed.

Abstract: A display apparatus for image processing and a method thereof are disclosed. The image processing method of a display apparatus includes receiving an image frame, identifying color where color cast is present by analyzing at least one of an illumination element and a tint element of the received image frame, and correcting color where the color cast is present by using color distribution of the received image frame.

Abstract: Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color.

Abstract: Systems and methods for improving operational flexibility of a display pipeline coupled to a display panel that facilitates display of an image by controlling luminance of a display pixel based on display image data. The display pipeline includes a format convert block that receives source image data that indicates target luminance of the display pixel using a source format; determines a color scaling factor associated with a color component in the source image data based on the source format; and generates internal image data that indicates target luminance of the display pixel using an internal format based on application of the color scaling factor to the source image data. Additionally, the display pipeline includes an image data processing block coupled to the format convert block, which processes the internal image data before the display image data is generated to facilitate improving perceived image quality when the image is displayed.

Abstract: A method is described in which a first color is detected at a user-selected arbitrary position of a first print; a second color is detected at a user-selected arbitrary position of a second print printed by a printer; a color difference between the first color and the second color is determined; and settings of the printer are changed to reduce the color difference in further prints printed by the printer.

Abstract: A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.

Abstract: An image capturing apparatus acquires a light intensity distribution in an object space through image capturing using a plurality of pixels, sets a coefficient distribution that is a distribution of a coefficient corresponding to each of the plurality of pixels and is to be applied to the light intensity distribution, acquires object space information that is information on the object space and different from the light intensity distribution, sets first pixel group and second pixel groups that are different from each other in the plurality of pixels based on the object space information, and generates a combined image by combining a plurality of light intensity distributions obtained by applying the coefficient distributions to each of the plurality of pixels obtained with a plurality of image capturing conditions.

Abstract: Described are examples for generating high dynamic range (HDR)/wide color gamut (WCG) output from an image sensor. A raw red, green, blue (RGB) image obtained by the image sensor can be received. A plurality of color transform operations can be applied to the raw RGB image to generate a HDR/WCG image. The HDR/WCG image can be stored in a memory, displayed on a display, transmitted to another device, etc.

Abstract: Generating a super-resolved reconstructed image includes acquiring a multitude of monochromatic images of a scene and extracting high-frequency band luma components from the acquired images. A high-resolution luma image is generated using the high-frequency components and motion data for the acquired images. The high-resolution luma image is combined with an up-sampled color image, generated from the acquired images, to generate a super-resolved reconstructed color image of the scene.

Abstract: A computer-implemented method for designating a portion of a machine-vision analysis to be performed on a worker. A set of machine-vision algorithms is obtained for analyzing a digital image of a product. An overall time estimate is determined that represents the processing time to analyze the digital image using the entire set of machine-vision algorithms. If the overall time estimate is greater than a threshold value, then an algorithm time estimate for each of two or more algorithms of the set of machine-vision algorithms is obtained. A rank associated with each of the two or more algorithms is computed based on the algorithm time estimates. A designated algorithm to be performed on the worker is selected based on the rank associated with each of the two or more algorithms. The digital image may then be analyzed on the worker using the designated algorithm.

Abstract: The image forming apparatus includes: a measuring unit configured to measure reflected light from a test sheet, the measuring unit including a first sensor and a second sensor, a generation unit configured to generate information regarding a color of a plurality of measurement images based on a measurement result by the measuring unit; and a detection unit configured to detect a sensor that has output an abnormal measurement result in the measuring unit, based on the measurement result. The detection unit is further configured to detect a sensor that has output the abnormal measurement result, based on measurement results obtained by the measuring unit regarding reflected light from a predetermined region of the test sheet. The predetermined region corresponds to a region on which the plurality of measurement images are not formed.

Abstract: When detecting particulate radiation, such as electrons, with a pixelated detector, a cloud of electron/hole pairs is formed in the detector. Using the signal caused by this cloud of electron/hole pairs, a position of the impact is estimated. When the size of the cloud is comparable to the pixel size, or much smaller, the estimated position shows a strong bias to the center of the pixel and the corners, as well to the middle of the borders. This hinders forming an image with super-resolution. By shifting the position or by attributing the electron to several sub-pixels this bias can be countered, resulting in a more truthful representation.

Abstract: Systems and methods for restoring the appearances of scans of damaged physical documents. Ink bleed is removed and/or ink added to portions of a scanned image based on determining an ink bleed model by analyzing colors of pixels in the scanned image. Gaps in strokes are reconstructed based on analyzing pixel color at multiple angles around individual pixels in the scanned image to determine whether the individual pixels are part of a stroke. The appearance of the scanned image is also enhanced by comparing pixels that are not already close to a background color or ink color with other nearby pixels and, based on the nearby pixels, adjusting colors of the pixels that are not already close to the background color or ink color. These techniques are used individually or in combination to improve the appearance of the scanned image.

Abstract: A gaze tracking system captures images of a vehicle operator. The gaze tracking system may detect facial features in the images and track the position of the facial features over time. The gaze tracking system may detect a triangle in an image, wherein the vertices of the triangle correspond to the facial features. The gaze tracking system may analyze the detected triangle to identify a surface normal for the triangle, and may track the surface normal (e.g., across multiple images) to track the eye gaze direction of the driver over time. The images may be captured and analyzed in near-real time. By tracking movement of the driver's head and eyes over time, the gaze analysis system may predict or estimate head position and/or gaze direction when one or more facial features are not detectable.

Abstract: A system for ensuring that the best available view of a person's face is included in a video stream when the person's face is being captured by multiple cameras at multiple angles at a first endpoint. The system uses one or more microphone arrays to capture direct-reverberant ratio information corresponding to the views, and determines which view most closely matches a view of the person looking directly at the camera, thereby improving the experience for viewers at a second endpoint.

Abstract: The present technology relates to an image capturing apparatus and an image capturing method that a high dynamic range synthesized image can be subjected to exposure compensation desired by a user.

Abstract: A video coding system may perform inter-layer processing by simultaneously performing inverse tone mapping and color gamut conversion scalability processes on a base layer of a video signal. The video coding system may then perform upsampling on the processed base layer. The processed base layer may be used to code an enhancement layer. Bit depth may be considered for color gamut conversion modules. Luma and/or chroma bit depths may be aligned with respective larger or smaller bit depth values of luma and/or chroma.

Abstract: Technologies for multi-channel feature detection include a computing device to determine a filter response of each image channel of a multi-channel image for one or more image filters. The computing device determines a local differentiating color vector based on the filter responses, applies the filter responses to the local differentiating color vector to generate an adapted response, and determines a total response of the multi-channel image based on the adapted response.

Abstract: A method for converting a standard dynamic range (SDR) sequence into a high dynamic range (HDR) sequence is described. The method includes determining (S1) successive shots in the SDR sequence by cut detection, detecting (S2) if the SDR sequence comprises a sub-sequence of at least two successive short shots having a duration lower than D1, said subsequence comprising at least one bright shot having a luminance and a size greater than L1 and SZ1 respectively, and mapping (S3) the luminance range of bright shots of the detected subsequence from the low dynamic range to a first high dynamic range and mapping the other shots of the SDR sequence from the standard dynamic range to a second high dynamic range in order to generate the HDR sequence, the first high dynamic range having a maximal value Lmax1 lower than that of the second high dynamic range Lmax2.

Abstract: Computer-implemented systems and methods herein disclose automatic haze correction in a digital video. A video dehazing module divides a digital video into multiple scenes, each scene including a set of video frames. For each scene, the video dehazing module identifies the dark channel, brightness, and atmospheric light characteristics in the scene. For each video frame in the scene, the video dehazing module determines a unique haze correction amount parameter by taking into account the dark channel, brightness, and atmospheric light characteristics. For each video frame, the video dehazing module also determines a unique haze correction sensitivity parameter by taking into account transmission map values in the scene. The video dehazing module applies the unique haze correction amount parameters and unique haze correction sensitivity parameters to each video frame generate a sequence of dehazed video frames.

Abstract: The present invention addresses the problem of providing an imaging device that prevents mismatching in image matching for parallax calculation even if the sharpnesses of an end part and center part of a processing area differ. An imaging device 1 according to the present invention is provided with a means for equalizing the sharpnesses of the processing areas of a reference image and a comparison image.

Abstract: Technologies for multi-channel feature detection include a computing device to determine a filter response of each image channel of a multi-channel image for one or more image filters. The computing device determines a local differentiating color vector based on the filter responses, applies the filter responses to the local differentiating color vector to generate an adapted response, and determines a total response of the multi-channel image based on the adapted response.

Abstract: An examination device includes: a second difference image generator that calculates a difference in pixel values between each pixel constituting a detection target image and a pixel located away from the each pixel by a predetermined number of pixels in a first direction, and generates a second difference image constituted of the calculated difference values; a calculator that calculates a first pixel number being the number of pixels whose pixel values are more than a first threshold value, and a second pixel number being the number of pixels whose pixel values are less than the first threshold value, out of pixels constituting each pixel column constituting a detection target area in the second difference image extending in a second direction; and a determiner that determines whether there is a line defect in the detection target area based on ratio between the first and second pixel numbers of each pixel column.

Abstract: First extracting means of a processing unit, based on a brightness component and a color information component of a captured image separated by separating means, extract a candidate region using a first morphology processing based on the brightness component, and second extracting means of the processing unit extract a likelihood of a region from a color space composed of the brightness component and the color information component and perform a second morphology processing to generate a region-extracted image, which is displayed on the display device. In this case, the morphology processing including the smoothing filter processing is performed on an extracted candidate region and an extracted likelihood of the region.

Abstract: An information processing apparatus decides a division condition of an image to be laid out in a print content based on at least one of information of the image and information of the information processing apparatus by causing at least one of a first program layer and second program layer to operate; divides the image in accordance with the division condition decided and creates a divided image by causing the second program layer to operate; constructs the print content in which the divided image is laid out by causing at least one of the first program layer and second program layer to operate; renders the print content in which the divided image is laid out and generate a rendering image by causing the second program layer to operate; and generates print data using the rendering image by causing the second program layer to operate.

Abstract: A display apparatus and a display method are disclosed. The display apparatus includes at least one display unit and a control unit. The display unit includes a liquid crystal display (LCD) module and a self-luminous display module. The self-luminous display module is disposed on an edge of the LCD module. The control unit is electrically connected to the LCD module and the self-luminous display module, and matches optical parameters of the LCD module with optical parameters of the self-luminous display module. The display apparatus makes an effective use of a frame region of the LCD module for displaying, and maintains the characteristic of the LCD module, and the display method matches display effects of the LCD module and the self-luminous display module.

Abstract: According to the present disclosure, an image-processing apparatus acquires horizontal black hat image data by taking a difference between source image data and horizontal closing image data obtained by performing closing processing on each pixel row of the source image data, acquires vertical black hat image data by taking a difference between the source image data and vertical closing image data obtained by performing the closing processing on each pixel column of the source image data, and acquires logical conjunction image data where a logical conjunction of the horizontal black hat image data and the vertical black hat image data is taken.