Abstract: An image processing apparatus includes an acquisition unit configured to acquire a captured image obtained by imaging an imaging target using an imaging device, a generation unit configured to generate a display image to be displayed on a display unit, based on the captured image, a control unit configured to cause the display unit to display the display image, a specification unit configured to specify an evaluation area on the display image based on an instruction from a user, and a calculation unit configured to calculate an evaluation value in the evaluation area on the display image. The generation unit executes a filter process on the captured image and generates the display image.

Abstract: Video processing methods and the associated system architecture for measuring transformation in objects, including pupils, entail the following steps: 1. Motion correction; 2. Object (eye) detection; 3. Image correction; and 4. Fourier-based analysis for item (in some embodiments the item is a pupil) motion estimation.

Abstract: An image processing device includes: a calculation unit which calculates chroma values of pixels of image data taken by a shooting device based on differences between R values or G values and B values, respectively; a correction unit which corrects luminance values of pixels that satisfy a prescribed condition for being a yellow pixel using the calculated chroma values as emphasis amounts, respectively; and a detection unit which detects a line drawn on a road surface based on the corrected luminance values.

Abstract: A computer-implemented method includes receiving a base visualization having first data in a first set of channels, where each channel in the first set of channels is associated with a respective range in the base visualization. It is detected that the respective ranges of the first set of channels fall outside a perceptual bandwidth of a first user. The base visualization is automatically transformed to a second visualization, based on the perceptual bandwidth of the first user. The second visualization includes second data in a second set of channels, where each channel in the second set of channels is associated with a respective range in the second visualization. The respective ranges of the second set of channels fall within the perceptual bandwidth of the first user.

Abstract: A system for displaying one or more images to select one or more matching formulas to match color and appearance of a target coating of an article includes a computing device, a display device, a host computer connected to the computing device, one or more data input devices, a first database containing repair formulas, color characteristics, and appearance characteristics, a second database containing identification information of an article or a three-dimensional model of an article or a three-dimensional mapping of a geometry of a part of an article, and a computer program product accessible to the computing device and/or the host computer and performing a computing process to retrieve at least one preliminary matching formula from the first database, select one article or a three-dimensional mapping of a geometry of one article from the second database, generate individual matching images, and display the individual matching images on the display device.

Abstract: A plurality of endpoints in a wet etching process of a substrate are determined. A plurality of benchmark end points during a wet etching process of a first substrate are determined, using first light information represented by a HSV color model for sample locations of the first substrate. Etch parameters are generated for a wet etching process for a second substrate. The generated etch parameters are used with second light information represented by at least one value of the Hue, Saturation, Value color model associated with a plurality of sample locations of the second substrate to reach respective end points during the wet etching process of a second substrate.

Abstract: An image fusion method for removing ghost artifacts is provided. The method includes: determining a first fusion weight of a reference pixel in a reference frame, wherein the coordinates of the reference pixel are the same as the coordinates of one of input pixels included in an input frame; determining a reference brightness parameter according to values of all channels of the reference pixel; determining an input brightness parameter according to values of all channels of the input pixel; determining a ghost weight according to an amount that the brightness parameter ratio of the input brightness parameter and the reference brightness parameter deviates from a reasonable range; determining a fusion weight according to the first fusion weight and the ghost weight; and fusing the reference pixel with the input pixel according to the fusion weight to generate a fused pixel in a fused frame.

Abstract: There is provided a system and a method comprising obtaining data representative of potential defects in at least one image of a semiconductor specimen, for each potential defect of at least a first subset of potential defects of the semiconductor specimen, obtaining pixel values representative of the potential defect in multiple images of the specimen which differ from each other by at least one parameter, classifying the potential defects into a plurality of first clusters, for each first cluster, building, based on pixel values representative of potential defects, at least one first matching filter for the first cluster, for at least a given potential defect not belonging to the first subset, determining whether it corresponds to a defect based on the first matching filters associated with the plurality of first clusters.

Abstract: A control system for a digital device includes a feed style machine display interface reactive to transfer of access rights to events associated with an association of friends.

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: To prevent any variation of the grayscale to be originally present from becoming unclear, diminishing banding that is generated when an image including a gradation is displayed. An image processing device obtains image data of an original image including plural pixels, obtains an evaluation value that represents the possibility of the generation of the banding on the basis of the color distribution of a noted area including a target pixel that is any one of the plural pixels, produces an intermediate image of which the color of the target pixel is corrected on the basis of the evaluation value, and causes a corrected image to be output on the basis of the produced intermediate image. A correction amount of the color of the target pixel is varied in accordance with the evaluation value, in the correction of the color.

Abstract: A device includes at least one processor and memory including instructions that when executed by the at least one processor, cause the at least one processor to scan an input image including pixels that have either a first state or a second state opposite the first state, initiate a first cluster and a first polygon that belongs to the first cluster upon encountering a first pixel of the input image that has the first state, execute a first set of operations to form the first polygon, generate an indication of one or more characteristics of the input image based on at least the first cluster, and output the indication.

Abstract: A depth estimation system is described capable of determining depth information using two images from two cameras. A first camera captures a first image and a second camera captures a second image, both images including a plurality of light channels. In a first light channel of the plurality of light channels, the system calculates a census transform for each pixel of the first image and a census transform for each pixel of the second image. In a second light channel of the plurality of light channels, the system calculates a census transform for each pixel of the first image and a census transform for each pixel of the second image. The system generates a depth map based in part on the census transforms for each pixel of the first image and the second image in the first light channel and in the second light channel.

Abstract: A system and method of processing an image may include capturing an image of a scene. Image data having M-bits per pixel of the image may be generated. Multiple sets of simulated image data of the scene may be generated by applying different simulated exposure times to the generated image data. A processed image may be derived from the sets of simulated image data. The image data having M-bits per pixel may be an HDR image, and the processed image may be an LDR image.

Abstract: A method includes incrementing a counter with transmission of a process data from a first processor to a second processor, periodically decrementing the counter, if the counter is greater than a predetermined floor threshold value, wherein a period is a predetermined time interval; and stalling the first processor, if the counter is above a configurable load threshold value, so as to re-schedule the transmission of the process data from the first processor to the second processor.

Abstract: The present invention provides a display apparatus that improves the uniformity of luminance among a plurality of pixels and improves chromaticity by recalibrating artifacts of a display image recognized by a visual sensation even after calibration is performed, and a method of controlling the same. The display apparatus may include a display panel; a communication circuitry configured to receive an initial calibration coefficient value of a first pixel and at least one second pixel except for the first pixel of the display panel; and a controller configured to compare luminance of the first pixel and the second pixel based on the initial calibration coefficient value, to modify the initial calibration coefficient value based on the comparison result, and to control the display panel based on the modified calibration coefficient value.

Abstract: Techniques related to demosaicing for digital image processing are discussed. Such techniques include correcting defective pixels by detecting hot and warm pixels and correcting such detected hot and warm pixels based on neighboring pixels and angle compensation including detecting dominant angles and compensating for such detected angles during demosaicing.

Abstract: An apparatus including a location device and a processor. The location device may be configured to determine location coordinates of the apparatus. The processor may be configured to receive video frames captured by a capture device, perform video analysis on the video frames to detect objects in the video frames and extract metadata corresponding to the objects detected in the video frames, correlate the metadata with the location coordinates, determine a distance from the apparatus to the objects in the video frames and calculate an absolute location of the objects in response to the distance and the location coordinates. The distance may be determined by comparing a size of the objects detected in the video frames with a known size of the objects. The absolute location for the objects in the video frames may be added to the metadata.

Abstract: A white balance adjustment device includes a statistics acquisition portion and a correction portion. The statistics acquisition portion includes an area setting portion including a luminance area setting portion configured to set a plurality of luminance ranges, and an average value calculation portion configured to calculate an average value of color difference values of the image signal in each of the plurality of luminance ranges set by the luminance area setting portion. The correction portion includes a correction function determination portion configured to determine a correction function of the color difference values of the image signal based on the average value of the color difference values calculated by the average value calculation portion, and a color difference correction portion configured to correct the color difference values of the image signal based on the correction function determined by the correction function determination portion.

Abstract: A seasonal color coding system for recommending a customized seasonal color harmony palette to a user is disclosed. The system includes a scanning module to scan attributes comprising a skin color, a hair color, and an eye color, a plurality of colors of tangible objects, or a combination thereof associated with a plurality of users. The system further includes an analysis module to analyze the plurality of attributes by using mathematical algorithms to identify colors corresponding to each of the attributes. The system further includes a categorization module to determine a category for the user based on the identified colors corresponding to each of the attributes. The system further includes a recommendation module to provide recommendations for the customized seasonal color harmony palette to the user based on the determined category.

Abstract: Techniques for dataset processing are provided. A plurality of feature vectors is generated for a plurality of pixel regions from a plurality of images, and a plurality of clusters is generated based on the plurality of feature vectors. A score is assigned to each respective pixel region in the plurality of pixel regions based at least in part on a cluster the respective pixel region is associated with. A unified dataset is created by, for each respective cluster in the plurality of clusters, computing a representative index for each pixel region in the respective cluster by comparing the pixel regions in the cluster, and modifying the score of the pixel regions in the cluster based on the computed representative indices. A confidence index is generated for the unified dataset based at least in part on a level of fragmentation in the unified dataset.

Abstract: Systems and methods provided for presenting supplemental content in an augmented reality environment where an object within a field of view of an augmented reality device of a user is identified and processed to detect a reference related to a participant in an event. A user profile or user social network is searched to identify a message from the user about the participant. The message may be combined with the object in the augmented reality field of view.

Abstract: Innovations in adaptive encoding and decoding for units of a video sequence can improve coding efficiency when switching between color spaces during encoding and decoding. For example, some of the innovations relate to adjustment of quantization or scaling when an encoder switches color spaces between units within a video sequence during encoding. Other innovations relate to adjustment of inverse quantization or scaling when a decoder switches color spaces between units within a video sequence during decoding.

Abstract: An improvement to an image processing system for enhancing the contrast of digital images using a local-area contrast enhancement of the digital images. For each digital image, a contrast factor is computed which is a measure of how well exposed the digital image is based on a normalized intensity value for each of the image pixels. A gain value for each of the image pixels is determined, and scaled by the contrast factor. A surround image based on a filtered version of the digital image is formed and using in conjunction with the scaled gain values to perform opponent contrast filtering to the digital image to produce an output image.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for cataloging images based on a gridded color histogram analysis. The computer accesses an image gallery specified by a user, wherein the image gallery is at least one of an image gallery stored on a user computing device, an image gallery stored on a user account at a third-party image storage, or an image gallery searched on the web. The computer receives a request to search the image gallery specified by the user. The computer performs a search of the image gallery, wherein the search is using a color based histogram algorithm based on a user input. The computer transmits a cataloged and sorted image gallery to the user computing device to be displayed.

Abstract: A method for adjusting uniformity of image color tones includes setting brightness of a darkest display region as target brightness and setting color temperature coordinates of a designated display region as target color temperature coordinates of at least one part of display regions of a display, comparing the brightness and the color temperature coordinates of each display region of the at least one part of display regions with the target brightness and the target color temperature coordinates for generating a first calibrated color tone, generating a second calibrated color tone of the each display region of the at least one part of display regions according to an Alpha channel parameter and the first calibrated color tone, generating a uniformity compensated image layer according to all second calibrated color tones, and virtually overlaying the uniformity compensated image layer on the at least one part of display regions.

Abstract: Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying program code changes causing a changed visual appearance of a graphical user interface of a computer application. A code change is received for the computer application in a build system. The code change results in a changed computer application. The changed computer application is run and screenshots of the visual appearance of the graphical user interface are captured and saved during the run. Differences between the saved screenshots are detected to identify changes in the visual appearance of the graphical user interface. The identified changes in the visual appearance are correlated with a particular section of program code causing the changes in the visual appearance.

Abstract: Embodiments provide systems and methods associated with a reflectance-based projection-resolved (rbPR) optical coherence tomography angiography (OCTA) algorithm which uses optical coherence tomography (OCT) reflectance to enhance the flow signal and suppress the projection artifacts in 3-dimensional OCTA. rbPR improves the vascular connectivity and improved the discrimination of the deeper plexus angiograms in healthy eyes, compared to prior PR-OCTA method. Additionally, rbPR removes flow projection artifacts more completely from the outer retinal slab in the eyes with age-related macular degeneration, and preserves vascular integrity of the intermediate and deep capillary plexuses in the eyes with diabetic retinopathy. Additionally, the rbPR method improves the resolution of the choriocapillaris and demonstrates details comparable to scanning electron microscopy.

Abstract: In some examples, luminance-biased sharpening for thermal media printing may include converting an input image to a grayscale luminance representation. For each pixel of a plurality of specified pixels of the converted input image, a sharpening lightness value may be determined. Further, for each pixel of the plurality of specified pixels of the converted input image, a ratio of the sharpening lightness value to a corresponding original lightness value may be determined. Based on the determined ratio, a sharpened output image corresponding to the input image may be generated.

Abstract: An imaging apparatus 1 includes an image acquisition unit 51, an image processing unit 53, a mask image creation processing unit 54, and a processed image creation processing unit 55. The image acquisition unit 51 acquires a face image. The image processing unit 53 adjusts the brightness of the face image acquired by the image acquisition unit 51. The image processing unit 53 combines the face image acquired by the image acquisition unit 51 with the processed face image, using map data in which a predetermined region of a face is set as a transparent region on the basis of the reflection state of light emitted to the face.

Abstract: Methods for dehazing a digital image and for restoring an underwater digital image. The methods include the following steps: First, clustering pixels of a digital image into haze-lines, wherein each of the haze-lines is comprised of a sub-group of the pixels that are scattered non-locally over the digital image. Second, estimating, based on the haze-lines, a transmission map of the digital image, wherein the transmission map encodes scene depth information for each pixel of the digital image. Then, for a hazy image, calculating a dehazed digital image based on the transmission map.

Abstract: Systems and methods for color selection are provided and include a mobile device having a mobile application configured to access a social media platform, retrieve a plurality of images from the social media platform, determine a dominant color for each image of the plurality of images, determine a closest matching paint color for the dominant color for each image, and display at least one of a color name and a color code associated with the closest matching paint color for the dominant color for each image.

Abstract: A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.

Abstract: Systems and methods related to detecting characteristics of images and accentuating or manipulating characteristics of images are described. For example, a principal color of an image may be identified, a complement color may be determined based on the principal color, and the complement color may be applied to the image to accentuate the image. In this manner, an object of interest represented in the image may be emphasized and displayed in a more visually attractive manner. In addition, edges of an image may be evaluated to determine if one or more visibly cropped edges are present within the image, the image may be further cropped to remove the visibly cropped edges, and/or the image may be shifted or magnified based on such cropped edges. In this manner, an object of interest represented in the image may be magnified and emphasized, and visually distracting elements may be removed from the image.

Abstract: Methods and systems to identify video content based on video fingerprint matching are described. In some example embodiments, the methods and systems generate a query fingerprint of a frame of video content captured at a client device, query a database of reference fingerprints, determine the query fingerprint of the frame of captured video content matches a reference fingerprint, and identify the video content based on the match of fingerprints.

Abstract: An image processing apparatus that generates image data to generate a image by superimposing a first output image that is output from a first image output apparatus and a second output image that is output from a second image output apparatus, includes a first obtaining unit configured to obtain input image data, a second obtaining unit configured to obtain first output image data to be output to the first image output apparatus, and a generation unit configured to generate second output image data to be output to the second image output apparatus based on the input image data and the first output image data, in which a sharpness of an image represented by the second output image data is in accordance with a sharpness of an image represented by the first output image data.

Abstract: Image data representative of at least a portion of an image comprising first and second sets of pixels associated with first and second colour channels, respectively, is received. It is determined that a first pixel of the first set of pixels is a saturated pixel. First data based on a value of the first pixel of the second set of pixels is obtained for a first image region comprising the first pixel of the first set of pixels and a first pixel of the second set of pixels. Second data based on respective values of second pixels of the first and second sets of pixels are obtained, based on the first data, for a second image region. The second data is processed to generate output data representative of an estimated value associated with the first colour channel for the first pixel.

Abstract: A system produces an interpolated luminance-balanced monochrome image from a Red-Clear-Clear-Clear (RCCC) pattern image. It may include an imager having a RCCC pattern filter array. There is an interpolation processing module with one or more processors processing sampled, red filtered image pixels. A red plane is interpolated using the sampled, red filtered pixels, producing an interpolated red for the pixels. The interpolated red pixels are subtracted from the sampled clear pixels, producing a “Clear minus Red” (“C?R”) plane. A C?R value is interpolated for the red filtered pixels. The interpolated C?R value is added to the sampled red pixels, and the monochrome image is output, where the luminance is balanced across the pixels, especially in low and very light environments.

Abstract: A color-shift calibration method is provided to process an image including pixels, in which an arrangement of the pixels corresponds to a Bayer color filter array and the pixels include first green pixels, second green pixels, red pixels and blue pixels. The color-shift calibration method includes the steps outlined below. A regional gradient change of the first and the second green pixels within a neighboring region corresponding to a target green pixel is calculated. An intensity difference between the first and the second green pixels is calculated. When the regional gradient change is smaller than a gradient threshold and the intensity difference exceeds an intensity threshold range, a pixel calibration is performed on the target green pixel based on the first and the second green pixels.

Abstract: There is described a gaming apparatus for providing an auxiliary jackpot game to a live casino table in which players may place gaming chips anywhere in a betting zone defined on the gaming table surface to signify entry in the auxiliary jackpot game. The gaming apparatus includes sensors to detect the positions of gaming chips placed in the betting zone, memory means to record the physical positions of the detected betting chips, random number generating apparatus, and processor means operable to select, on the basis of a generated random number, which of the detected positions is occupied by the winning bet. Optionally, the gaming apparatus further includes determining means for determining, on the basis of a generated random number, whether or not a jackpot payout is to be made, and the processor means is operated to select a winning bet position only when the determining means determines that a payout is to be made.

Abstract: A method of encoding a pixel comprises encoding second and third color component values of the pixel in a first color space. A first color component value in a second color space is obtained for the pixel. A first color component value in the first color space is determined based on minimizing an error computed based on a difference between the first color component value in the second color space and a test color component value in the second color space derived based on the encoded second and third color component values. The first color component value in the first color space is then encoded. The target value for coding of the first color component is thereby adapted given encoding of the second and third color components. As a result the visual quality of the pixel is improved.

Abstract: There are disclosed an image compression method, device, and compression/decompression system, the image compression method including: receiving an input image; encoding the input image by utilizing n stages of encoding unit connected in cascades to produce an output image, where n is an integer greater than 1, wherein an input of an i-th stage of encoding unit is an i-th stage of encoding input image and includes mi?1 image components, an output of the i-th stage of encoding unit is an i-th stage of encoding output image and includes mi image components, and the output of the i-th stage of encoding unit is an input of a (i+1)-th stage of encoding unit, where 1?i<n, m is an integer greater than 1; wherein the output image includes one image component as a reference image of the input image and mn?1 image components corresponding to the input image.

Abstract: An image processing device and method for a display device are disclosed, and the image processing device includes a color gamut conversion unit; the color gamut conversion unit is configured to perform processing on an input signal inputted into the display device to allow a display operation according to a color gamut range of the display device to be converted into a display operation according to a color gamut range of the input signal when the display device displays the input signal.

Abstract: An online system is configured to provide content items to users. The content item includes an image, and is displayed with an interface element colored using an accent color to create a unified look and feel with the displayed image. The accent color is dynamically selected based upon the image, extracted color features of the image, and embeddings associated with the image indicating at least one object depicted in the image. A machine-trained classification model selects the color to be used in displaying the interface element from a quantized set of colors of the image, based upon the extracted color features and the embeddings associated with the image. As such, suitable accent colors can be selected automatically for large numbers of content items, in a flexible manner that can account for the context of the images and the context in which the content item is to be displayed.

Abstract: Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of: receiving an image at a first-level analysis component comprising a first neural network structure; analyzing, using the first neural network structure of the first-level analysis component, the image to determine an image category associated with the image; selecting at least one second-level analysis component that is associated with the image category to analyze the image; analyzing, using a second neural network structure associated with the at least one second-level analysis component that was selected, the image to determine whether the image includes non-compliant content; and in response to determining that the image includes non-compliant content, executing a corrective measure. Other embodiments are disclosed herein.

Abstract: Characterizing myocardial perfusion pathology includes analyzing a plurality of medical images of at least a portion of the heart of a subject of interest (20), acquired in a consecutive manner by a medical imaging modality (10). Intensities of selected myocardial image positions from the plurality of medical images are sampled and assigned an index representing an order of acquisition to the respective sampled intensities of the myocardial image positions to obtain intensity curves (60). An index number (64, 66) indicative of a spatio-temporal perfusion inhomogeneity or perfusion dephasing among at least a subset of myocardial segments of the plurality of myocardial segments is calculated, based on the obtained intensity curves (60).

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: A method of encoding a high dynamic range image. First converting the high dynamic range image to an image of lower luminance dynamic range by applying scaling the high dynamic range image to a predetermined scale of the luma axis. Next, applying a sensitivity tone mapping which changes the brightness of pixel colors falling within at least a subrange comprising the darker colors in the high dynamic range image. Then applying a gamma function. Finally, applying an arbitrary monotonically increasing function mapping the lumas resulting from the sensitivity tone mapping and gamma adjustments to output lumas of a lower dynamic range image. Producing in an image signal a codification of the pixel colors of the lower luminance dynamic range image and outputting in the image signal values encoding the functional behavior of the above color conversions as metadata, or values for the inverse functions.

Abstract: An electronic device may include enhancement circuitry to enhance high resolution image data to improve perceived quality of an image corresponding to the high resolution image data. The enhancement circuitry may include tone detection circuitry to determine one or more tones within the image and apply changes to the high resolution image data based on the one or more tones. The enhancement circuitry may also include example-based improvement circuitry to compare the high resolution image data to low resolution image data and apply changes to the high resolution image data based on differences between sections of the high resolution image data and sections of the low resolution image data. The enhancement circuitry may also include channel processing circuitry to apply the first and second changes to one or more channels of the high resolution image data.