Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: In a colorimetry device and a colorimetry method of the present invention, reference chart definition information including at least reference chart identification information about a reference color chart and patch position definition information indicating a position of each of plurality of patches in the reference color chart is stored, and whether the obtained color chart is matched with the reference color chart is determined based on the reference chart identification information. When the obtained color chart is determined to be matched with the reference color chart, a position of a colorimetry unit with respect to the color chart is relatively moved to the position of each of the plurality of patches in the color chart based on the reference chart definition information, and the colorimetry unit measures the color of each of the plurality of patches.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold.

Abstract: A video decoder is configured to reconstruct a first version of a current picture; determine a transformed sample of the first component, a transformed sample of the second component, and a transformed sample of the third component by applying a first matrix to a triplet comprising the samples of the first, second, and third components; include the transformed samples of the first, second, and third components in a second version of the current picture; determine, based on the transformed samples of the first, second, and third components and a first row of a second matrix, a set of transformed samples for the third component, the set of transformed samples for the third component including samples of the third component that are immediately neighboring the transformed sample of the third component; and include the set of transformed samples for the third component in the second version of the current picture.

Abstract: In one embodiment, a method comprises accessing a plurality of images stored in a data store, and for a first image of the plurality of images, determining a color distribution of the first image, wherein the color distribution of the first image is based on a frequency of one or more colors depicted in the first image. The method further comprises, based on the color distribution of the first image, assigning the first image to a particular image class, wherein the particular image class further comprises a second image, wherein the assigning of the second image to the particular image class is further based on a color distribution of the second image. The method further comprises based on at least the first image and the particular image class, determining a particular color profile, assigning the particular color profile to the first image and the second image.

Abstract: In a video processing system, such as e.g. a set top box or a BD player wherein in a merger video can be merged with one or more overlays a video/overlay pixel indication (A) is encoded in one or more of the least significant bits of one or more of the color components in the video signal. The video signal is transmitted over the interface between VPS and display. The display subject the image to an adaptation. This adaptation is performed dependent on the video/overlay pixel indication (A).

Abstract: Provided is an image processing device for improving quality of an image generated using an image obtained when infrared light is radiated and an image obtained when infrared light is not radiated. A modulation coefficient setting unit sets a first modulation coefficient used for correction of infrared luminance information of an infrared image obtained when infrared light is radiated. The first modulation coefficient is set on the basis of a ratio between the infrared luminance information and visible luminance information of a visible image obtained when the infrared light is not radiated. A modulation coefficient correcting unit corrects the first modulation coefficient to a second modulation coefficient on the basis of a parameter indicating brightness of a subject of the visible image or brightness of a photographing environment. A luminance correcting unit corrects the infrared luminance information using the second modulation coefficient.

Abstract: A system is disclosed. The system at least one physical memory device to store ink deposition curve compute logic and one or more processors coupled with the at least one physical memory device, to execute the ink deposition curve compute logic to receive a histogram for each of a plurality of color planes, receive ink measurement data for each of the plurality of color planes, compute ink deposition curve data for each of the plurality of color planes based on the histograms and the ink measurement data and transmit the ink deposition curve data.

Abstract: A method and a display driver for compensating the perceptual bias of edge boost when driving a display panel are provided. The method can pre-process an input image to compensate for a perceptual bias of edge boost, e.g., at a contiguous group of color bands in the input image prior to sending the input image in a form of plural frames to a display panel for display. The method includes the steps of partitioning an input image into one or more grayscale regions, segmenting the grayscale regions into a plurality of color bands, detecting a subtle but perceivably significant change of color or luminance between two adjacent color bands, identifying a transition region and performing color dilution on the transition region. The display driver can include an input buffer, an image processor configured to execute the above method and an output buffer.

Abstract: A display management processor receives an input image with enhanced dynamic range to be displayed on a target display which has a different dynamic range than a reference display. The input image is first transformed into a perceptually-corrected IPT color space. A non-linear mapping function generates a first tone-mapped signal by mapping the intensity of the input signal from the reference dynamic range into the target dynamic range. The intensity (I) component of the first tone-mapped signal is sharpened to preserve details, and the saturation of the color (P and T) components is adjusted to generate a second tone-mapped output image. A color gamut mapping function is applied to the second tone-mapped output image to generate an image suitable for display onto the target display. The display management pipeline may also be adapted to adjust the intensity and color components of the displayed image according to specially defined display modes.

Abstract: Described is a video scene analysis system. The system includes a salience module that receives a video stream having one more pairs of frames (each frame having a background and a foreground) and detects salient regions in the video stream to generate salient motion estimates. The salient regions are regions that move differently than dominant motion in the pairs of video frames. A scene modeling module generates a sparse foreground model based on salient motion estimates from a plurality of consecutive frames. A foreground refinement module then generates a Task-Aware Foreground by refining the sparse foreground model based on task knowledge. The Task-Aware Foreground can then be used for further processing such as object detection, tracking or recognition.

Abstract: The present invention is to provide a method and system using compressed data directly for target tracking and target classification in videos. The present invention uses a video imager to generate compressive measurements, and a random subsampling operator to compress the video data. It uses a Gaussian Mixture Model (GMM) for target detection and manual location of the target and putting a bounding box around the targets in the first frame is not required. It further applies a saliency-based algorithm to re-center the captured target. This re-centering process can be repeated multiple times and each application of re-centering will improve over the previous one. A pixel completion algorithm is used to fill in the missing pixels for the captured target area. A Sparse Representation Classification (SRC) for target classification. Both the target templates in a dictionary and captured targets are transformed to the frequency domain using Fast Fourier Transform (FFT).

Abstract: Disclosed are systems, methods, and computer-readable storage media to perform an interactive image recolorization process. The method includes receiving user input including a single stroke drawn on an image presented on a client device. The method further includes determining a region of interest in the image based on the user input. The method further includes recolorizing the region of interest on the image and causing presentation of a result of the recolorization on the client device.

Abstract: An electronic device may include a display pipeline to be coupled between an image data source and a display panel. The display pipeline may include pixel contrast control processing circuitry programmed to determine pixel statistics indicative of an image frame based at least in part on image data that indicates an initial target luminance of a corresponding display pixel implemented on the display panel. The pixel contrast control circuitry may also apply a set of local tone maps to determine modified image data that indicates a modified target luminance. The display pipeline may also include a pixel contrast control controller coupled to the pixel contrast control processing circuitry. The pixel contrast control controller may be programmed to execute firmware instructions to determine local tone maps to be applied during the next image frame based at least in part on the pixels statistics determined by the pixel contrast control processing circuitry.

Abstract: An image processing device includes a control section configured to determine, based on first luminance information for each display pixel, frame luminance information in a single frame and current information. The current information indicates a magnitude of a current that is expected to be consumed in displaying the single frame on a display section. The control section is configured to control, based on the frame luminance information and the current information, light-emitting luminance of the display section.

Abstract: Techniques related to improved video coding based on skin tone detection are discussed. Such techniques may include selecting from static skin probability histograms and/or a dynamic skin probability histogram based on a received video frame, generating a skin tone region based on the selected skin probability histogram and a face region of the video frame, and encoding the video frame based on the skin tone region to generate a coded bitstream.

Abstract: In a program generation apparatus, a processing unit selects a first program from among a plurality of image processing programs each generated by combining a plurality of partial programs; generates a second program by changing a part of the partial programs included in the first program; performs image processing on an input image, using the second program; determines whether to pass the second program to the next generation, based on a comparison between one or more intermediate output images that are output halfway through the image processing and a first target image; and replaces one of the image processing programs with the second program when the second program is determined to be passed to the next generation.

Abstract: A projector including: a display unit equipped with an image-forming surface made up of a plurality of pixels; a projection lens that is capable of focus adjustment and that projects an image that is formed on the image-forming surface onto a projection surface; a distortion correction processing unit that, on the basis of distortion correction data for correcting distortion of an image projected onto the projection surface, generates a corrected image by enlarging and/or reducing an image indicated by an input video signal and forms the corrected image on the image-forming surface; and a control unit that adjusts the focus of the projection lens on the basis of the distortion correction data such that a focus range on the projection surface is increased.

Abstract: An image processing apparatus includes a first type of sensor, a second type of sensor, and a control circuitry. The control circuitry receives a first foreground mask for an object-of-interest in a previous color image frame and further estimate a second foreground mask for the object-of-interest in a current color image frame at a first image resolution. The control circuitry further upsamples the second foreground mask to a second image resolution and select at least one region-of-interest in the current color image frame. The control circuitry then upscales the upsampled second foreground mask by an expectation parameter generated based on a kernel density-based estimation for the at least one pixel in a selected region-of-interest. The upscaled second foreground mask exhibits a minimum foreground mask error that is caused by upsampling with respect to the estimated second foreground mask.

Abstract: Disclosed is a video decoding method including: obtaining a disparity vector having components in sub-pixel unit for interlayer prediction between images belonging to a current layer and a reference layer; determining a position of an integer pixel of the reference layer corresponding to a position indicated by the disparity vector obtained from the position of a current pixel of the current layer; and decoding the image of the current layer by using prediction information on a candidate area of the reference layer corresponding to the determined position of the integer pixel.

Abstract: An image processing method is provided for acquiring additional information from image information obtained by shooting a printed product on which the additional information is multiplexed by at least one of a plurality of different multiplexing methods, the method comprising: attempting decoding of the additional information from the image information by a plurality of different decoding methods corresponding to the plurality of different multiplexing methods; and outputting, by a unit, the additional information successfully decoded.

Abstract: A high dynamic range video processing method performs merging and tone mapping techniques after a Bayer filter mosaic technique is performed and then converts it to red green blue (RGB) at the end as opposed to converting into RGB at the beginning and then performing merging and tone mapping after. The HDR processing is performed on Bayer-mosaic images and no de-mosaicing and color space conversions are required. The merging procedure has two modes: full-reset merging and LDR-updated merging. The first mode, full-reset merging, creates an HDR frame once the system has all image frames captured. The second mode, LDR-updating merging, means that any new HDR frame is obtained by an updating of a previous HDR frame with a new LDR frame data.

Abstract: Embodiments described herein disclose a color measurement device and method for use with cameras or other imaging devices. The color measurement device may be configured to determine many different colors via a commonly owned device. Embodiments utilize sinusoidal grayscale rings to determine an exact color match of an unknown color, even if there is perspective distortion of an obtained image.

Abstract: An automated network-based test system for set top box devices is disclosed. According to certain embodiments, the network-based testing system using Simple Network Management Protocol facilitates remote testing of thousands of set-top boxes, where groups of these set top boxes can be located in various locations that are remote from a main controller server that is running the tests remotely.

Abstract: Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object.

Abstract: A computer-implemented method of calibrating a camera includes: a. making a video screen display a calibration pattern; b. acquiring from the camera a video stream of a scene comprising said calibration pattern; c. determining a modified calibration pattern depending on the acquired video stream, and making the screen display it; said steps a. to c. being iterated a plurality of times; and then d. estimating intrinsic calibration parameters of the camera by processing the acquired video streams. A computer program product, computer-readable data-storage medium and computer system for carrying out such a method.

Abstract: An image processing method for processing an image includes determining, selecting, and replacing. It is determined whether a portion, including a plurality of pixels and darker than a threshold in the image, is subject to a color replacement. One predetermined color from among a plurality of predetermined colors is selected, based on a color of at least a part of the plurality of pixels. Based on the determination, a color of the portion is replaced with the selected one predetermined color.

Abstract: An image processing method is provided. The method is configured to process the color-block image output by the image sensor. The face region of the color-block image is determined. A part of the color-block image beyond the face region is converted into a first simulation image using a first interpolation algorithm. A part of the color-block image within the face region is converted into a second simulation image using a second interpolation algorithm. The complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first simulation image and the second simulation image are merged into a simulation image corresponding to the color-block image. An image processing apparatus and an electronic device are provided. With the image processing method, the image processing apparatus and the electronic device, distinguishability and resolution of the image are improved, and time required for processing the image is reduced.

Abstract: Content-conforming stamp tool techniques are described. In one or more embodiments, a selection of an object in a digital image is received. An indication of a location in the digital image where the object is to be reproduced is also received. To reproduce and conform the object at the reproduction location, adjustments to a shape of the object are computed to conform a reproduction of the object to image content proximate the reproduction location. The adjustments are computed based on both the geometry of the image content at the source location and the geometry of the image content at the reproduction location. The adjustments are then applied to the shape of the object when it is reproduced at the reproduction location.

Abstract: A method of controlling lighting that includes color coding at least one group icon for a scene for lighting on a light control interface. The at least one group icon can be color coded with a first type color coded identifier corresponding to the scene. The method can continue with grouping at least one member icon designating a light function form for at least one lamp to the at least one group icon on the light control interface. The at least one member icon may include a second type color identifier, in which a member icon being grouped to a group icon has a same color for the second type color identifier for the member icon as the first type color identifier for the group icon.

Abstract: Embodiments described herein are directed to methods and systems for facilitating control of smoothness of transitions between images. In embodiments, a difference of color values of pixels between a foreground image and the background image are identified along a boundary associated with a location at which to paste the foreground image relative to the background image. Thereafter, recursive down sampling of a region of pixels within the boundary by a sampling factor is performed to produce a plurality of down sampled images having color difference indicators associated with each pixel of the down sampled images. Such color difference indicators indicate whether a difference of color value exists for the corresponding pixel. To effectuate a seamless transition, the color difference indicators are normalized in association with each recursively down sampled image.

Abstract: An image processing apparatus includes an adjustment unit, an acquisition unit, and a forming unit. The adjustment unit is configured to adjust an output value corresponding to an input value including a predetermined value in a first lookup table storing the output value corresponding to the input value. The acquisition unit is configured to acquire a second lookup table by adjusting the first lookup table through adjustment of the output value by the adjustment unit. The forming unit is configured to form an image using color-adjusted image data generated by performing color adjustment on image data to be processed using a color conversion table generated based on the second lookup table acquired by the acquisition unit.

Abstract: [Problem to be Solved] To improve stability of automatic normalization of a bone scintigraphy image. [Solution] A preferred embodiment includes: creating a pixel value histogram of image data representing a bone scintigraphy image; setting a plurality of thresholds related to pixel values based on the pixel value histogram; calculating respective average pixel values for the set thresholds; arranging the calculated average pixel values in order from the largest value; and determining a reference value for normalizing the image data based on at least part of a set of the average pixel values arranged in the order. The determining the reference value includes: determining one straight line that approximates a region of small average pixel values out of the set of the average pixel values arranged in the order; and calculating the reference value based on the straight line.

Abstract: Embodiments of the present invention provide systems and methods for automatically generating a shoppable video. A video is parsed into one or more scenes. Products and their corresponding product information are automatically associated with the one or more scenes. The shoppable video is then generated using the associated products and corresponding product information such that the products are visible in the shoppable video based on a scene in which the products are found.

Abstract: An electronic device includes an image sensor including a pixel array, and an image processor electrically connected with the image sensor. The image processor is configured to acquire a first image of a subject generated based on a first group of optical paths and to acquire a second image of the subject generated based on a second group of optical paths, the second group of optical paths having a phase difference with the first group of optical paths from the pixel array, to normalize pixel values included in the first image and pixel values included in the second image in units of a pixel, and to verify a light source of light reflected by the subject or a light source of light produced from the subject, based on a parameter associated with changes in the normalized pixel values.

Abstract: An information processing apparatus includes a processor and a memory containing instructions that cause the processor to perform operations. The operations include obtaining a group of candidates of corresponding points which are pairs of feature points in a first space and feature points in a second space, calculating a plurality of displacement fields under a plurality of different regularization conditions based on the candidate group, calculating a feature point group which has been subjected to a plurality of displacements by displacing the feature points in the first space by the plurality of displacement fields, and calculating matching degrees of the corresponding points included in the candidate group in accordance with the feature point group which has been subjected to the plurality of displacements.

Abstract: In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.

Abstract: A method, corresponding apparatuses, and a non-transitory computer readable medium for image processing are provided. A method comprises selecting at least one reference point on a sensor illumination response curve in a sensor illumination response plane. The method further comprises determining at least one dominant color evaluation region in the sensor illumination response plane based on the at least one reference point. With the claimed inventions, color reproduction performance could be improved.

Abstract: According to this method, upon reception of a color transform associated with a main sequence, a transition sequence is generated from successive images of this main sequence such that the first image of this transition sequence is an image received after reception of this color transform, transition color transforms associated with images of said transition sequence are generated by blending a color transform associated with a previous main sequence or no color transform with the second color transform, and each image of this transition sequence is processed using the transition color transform associated with said image.

Abstract: A computing device updates an estimate of one or more principal components for a next observation vector. An initial observation matrix is defined with first observation vectors. A number of the first observation vectors is a predefined window length. Each observation vector of the first observation vectors includes a plurality of values. A principal components decomposition is computed using the initial observation matrix. The principal components decomposition includes a sparse noise vector s, a first singular value decomposition vector U, and a second singular value decomposition vector v for each observation vector of the first observation vectors. A rank r is determined based on the principal components decomposition. A next principal components decomposition is computed for a next observation vector using the determined rank r. The next principal components decomposition is output for the next observation vector and monitored to determine a status of a physical object.

Abstract: An image processing method includes: determining chrominance information and luminance information of an input color image; iteratively solving one or more equations to obtain bases of the luminance and modulation weights of a plurality of basis element frames of the input color image based on the luminance information; determining bases of the chrominance of the basis element frames based on the modulation weights and the chrominance information; and converting the bases of the luminance and the bases of the chrominance of the basis element frames into an output image.

Abstract: A system and method for analyzing visual memes includes identifying visual memes associated with at least one topic in a data source. The visual memes propagated over time are tracked to extract information associated with identified visual memes. The information associated with the visual memes is analyzed to determine at least one of generation, propagation, and use of the identified memes.

Abstract: In a reproduction method, a first video stream has a first dynamic range where a maximum value of a luminance dynamic range is more than 100 nits, and a display apparatus displays video in a second dynamic range narrower than the first dynamic range. The method determines whether the first video stream is quantized based on a hybrid OETF. When it is determined that the first video stream is quantized based on the hybrid OETF, the first video stream is reproduced. When it is determined that the first video stream is not quantized based on the hybrid OETF, a luminance dynamic range of the first video stream is converted from the first dynamic range to the second dynamic range to obtain a second video stream, and the second video stream is reproduced.

Abstract: Computer-implemented methods for use in improving the diagnostic quality of images, including intravascular ultrasound (IVUS) images, are disclosed. The methods include using a non-linear, probabilistic classifier algorithm to analyze a plurality of spatiotemporal features of RF backscatter and to produce a blood likelihood map or blood probability map that corresponds to the original IVUS image. The methods disclosed herein allow for visualizing both static and dynamic characteristic of a vessel either by producing a transparency modulated color overlay of the blood likelihood map without altering the underlying IVUS image or by processing the IVUS image based upon the blood likelihood map to better distinguish between static and dynamic components of the vessel.

Abstract: An apparatus and a method for mapping colors of a source image to colors of a reference image, where the apparatus is configured to match a histogram of the source image to a histogram of the reference image to generate a histogram matched image of the source image, generate a conditional probability distribution of the reference image, and detect outliers in the histogram matched image based on the conditional probability distribution.

Abstract: An image processing apparatus includes: at least one processor for executing a program stored in at least one memory to perform functions of: a first acquiring unit configured to acquire RAW image data; a second acquiring unit configured to acquire first brightness information related to first brightness, which is display brightness of a display unit to be used for displaying an image based on the RAW image data; a setting unit configured to set a development parameter to be used for development processing, based on the first brightness information acquired by the second acquiring unit; and a developing unit configured to perform the development processing using the development parameter set by the setting unit, on the RAW image data acquired by the first acquiring unit.

Abstract: An device, method and program may properly perform gamut conversion of content and be applied to a gamut conversion device. A restoration conversion state confirming unit performs confirmation such as gamut conversion state of image data read out from an optical disc and the existence or not of restoration metadata. An information exchange unit communicates with an output device via a communication unit and performs information exchange such as the existence or not of restoration processing functionality and gamut conversion functionality and the like. A determining unit determines whether or not restoration processing is performed with a playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit. Similarly, the determining unit determines whether or not to perform gamut conversion processing with the playing device based on information obtained by the restoration conversion state confirming unit and the information exchange unit.

Abstract: Representative embodiments disclose mechanisms to flatten an image comprising at least one curved or bent edge. An image is received from a capture device and a UI is presented that allows a user to define a general vicinity of an item in the image to be flattened. The system analyzes pixels in the general vicinity to identify the highest probability of a corner in each general vicinity. The gradient of pixels between the corners is calculated and pixels scores are calculated based on the gradient. The pixels with the lowest scores between each corner are used as an edge. Smoothing is applied to each edge. Dimensions of the flat representation are calculated and the system maps pixels bounded by the edges and corners to pixels in the flat representation and copies the mapped pixels to the flat representation.

Abstract: Adaptive video processing for a target display panel may be implemented in or by a decoding/display pipeline associated with the target display panel. The adaptive video processing methods may take into account video content, display characteristics, and environmental conditions including but not limited to ambient lighting and viewer location when processing and rendering video content for a target display panel in an ambient setting or environment. The display-side adaptive video processing methods may use this information to adjust one or more video processing functions as applied to the video data to render video for the target display panel that is adapted to the display panel according to the ambient viewing conditions.

Abstract: A method of processing a digital image having a predetermined color pattern, includes converting the predetermined color pattern of the digital image into a converted digital image having a different desired color pattern; and using algorithms adapted for use with the desired color pattern for processing the converted digital image.