Abstract: An image processing apparatus includes a memory and a processor coupled to the memory and configured to perform acquiring object area information representing an image area of a target object in an image from an image database, using the object area information to calculate a distance map representing distance values from a contour of the target object inside the image area, and generating, based on the distance map, a line of points representing a curved line reflecting a global shape of the target object.

Abstract: An imaging processing system includes an image pickup device that has circuitry which creates, from raw image data, image data including a first gamut, and compression-codes the image data including the first gamut to generate compression-coded image data. The system also includes an image processing device that has circuitry which decodes the compression-coded image data to generate uncompressed image data, which includes the first gamut. The circuitry of the image processing device also converts the uncompressed image data including the first gamut into image data including a second gamut, where the first gamut encompasses the second gamut.

Abstract: A method of auto white balancing, including, receiving an original image, determining an RG logarithmic ratio of a set of red to green channel values of the original image, determining a BG logarithmic ratio of a set of blue to green channel values of the original image, determine an original two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determine a Gaussian-blur two-dimensional histogram utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a sharpened two-dimensional histogram of a sharpened image utilizing the RG logarithmic ratio and the BG logarithmic ratio, determining a Laplacian-edge two-dimensional histogram of a Laplacian-edge image utilizing the RG logarithmic ratio and the BG logarithmic ratio and determining a white balancing gain utilizing a neural network based on the original 2D histogram, the Gaussian-blur 2D histogram, the sharpened 2D histogram and the Laplacian-edge 2D histogram.

Abstract: An electronic device includes one or more processors and memory storing instructions for execution by the one or more processors. The stored instructions include instructions for: receiving infrared image information for a three-dimensional area; receiving non-infrared image information for the same three-dimensional area; performing nonlinear intensity adjustment for the received infrared image information; performing nonlinear intensity adjustment for the received non-infrared image information; blending the intensity-adjusted infrared image information and the intensity-adjusted non-infrared image information to obtain a merged image information; and providing the merged image information for determining a depth map. Also disclosed are a corresponding method performed by the electronic device and a computer readable storage medium storing instructions for execution by one or more processors of an electronic device.

Abstract: A training method for an image denoising model that can include collecting multiple sample image groups through a shooting device, each sample image group including multiple frames of sample images with a same photographic sensitivity and sample images in different sample image groups having different photographic sensitivities.

Abstract: An apparatus includes one or more processors that function as an image acquisition unit configured to acquire a training image and a correct answer image, a generation unit configured to input the training image to a neural network to generate an output image, an error acquisition unit configured to subject each of the correct answer image and the output image to processing for adjusting a color signal value, and acquire an error between the correct answer image and the output image that have been subjected to the processing, and an update unit configured to update parameters of the neural network based on the acquired error.

Abstract: A semiconductor device includes a germanium region, a doped region in the germanium region, wherein the doped region is of a first conductivity type; and a counter-doped region in the germanium region and adjacent to the doped region, wherein the counter-doped region is of a second conductivity type different from the first conductivity type.

Abstract: A method for calibrating a color gamut of a display screen includes: acquiring a brightness level of the display screen, and original red green blue (RGB) values of a color to be displayed by a pixel in the display screen; determining, according to the brightness level of the display screen and the original RGB values, corrected color coordinates; and determining a calibrated RGB values according to the corrected color coordinates, and driving, with the calibrated RGB values, light emission of the pixel in the display screen.

Abstract: The current document is directed to digital-image-normalization methods and systems that generate accurate intensity mappings between the intensities in two digital images. The intensity mapping generated from two digital images is used to normalize or adjust the intensities in one image in order to produce a pair of normalized digital images to which various types of change-detection methodologies can be applied in order to extract differential data. Accurate intensity mappings facilitate accurate and robust normalization of sets of multiple digital images which, in turn, facilitates many additional types of operations carried out on sets of multiple normalized digital images, including change detection, quantitative enhancement, synthetic enhancement, and additional types of digital-image processing, including processing to remove artifacts and noise from digital images.

Abstract: An image-capturing control apparatus controls an image capturing unit, which is configured to capture an image of a reference object serving as an evaluation reference, to obtain color information to be used for appearance evaluation of a target object. The image-capturing control apparatus includes a first obtaining unit configured to obtain data on a face orientation of an evaluation area on the target object and a second obtaining unit configured to, based on the data on the face orientation, control the image capturing unit such that the image capturing unit captures images of the reference object until the difference between the face orientation of the evaluation area and a face orientation of the reference object becomes smaller than a threshold value and obtain color information on the reference object for a case where the difference is smaller than the threshold value.

Abstract: A method includes determining, by a computing device, a working color space of a source content and a resulting content. The computing device models color saturation variations of different hues in the working color space with one or more properties of responses of a human vision system (HVS) to color stimulus. The computing device generates one or more color saturation variation models based on the responses of the HVS to color stimulus. An input color is mapped from the source content to an output color in the working color space using the one or more color saturation variation models.

Abstract: A system for presenting a soft-proof of a three-dimensional (3D) printed part may include a processor, and a memory device communicatively coupled to the processor. The system may also include a communication link to support communication with a 3D printing device, and computer usable program code to, when executed by the processor, retrieve data from the 3D printing device defining at least one capability of the 3D printing device that affects an appearance of a part when printed. The system may also include an application programming interface (API) to provide data defining generation of a soft-proof of the part based on the at least one capability of the 3D printing device, the soft-proof of the part depicting characteristics of the part as the part appears as printed.

Abstract: A method includes producing a filter mask based on a blur mask and a saliency mask and identifying locations of a plurality of bounding boxes of a plurality of objects of interest in a received image. The method also includes applying the filter mask to the received image and to the locations of the plurality of bounding boxes in the received image to remove at least one object of interest from consideration. The method further includes performing a comparison of a location of a bounding box of the plurality of bounding boxes of an object of interest remaining in consideration to a predetermined safe region of the received image and generating a validation result based on the comparison.

Abstract: Various disclosed embodiments are directed to inpainting one or more portions of a target image based on merging (or selecting) one or more portions of a warped image with (or from) one or more portions of an inpainting candidate (e.g., via a learning model). This, among other functionality described herein, resolves the inaccuracies of existing image inpainting technologies.

Abstract: Provided is an image processing apparatus that enhances the distinctiveness of document having a color portion and outputs in monochrome. A monochrome visual determination unit determines whether or not the distinctiveness of the color portion is low when the document data having the color portion is output in monochrome. This color portion includes characters, electronic marks, and graphs, and they are after a specific keyword. A monochrome presentation unit presents to a user a warning or a result of modification when there is the color portion that the distinctiveness is determined to be low by the monochrome visual determination unit. The monochrome presentation unit presents a state in which the document data is output in monochrome by displaying a preview.

Abstract: An auto white balance adjusting method includes determining a white pixel area according to a standard of a first color space, selecting a plurality of pixels of an image according to the white pixel area, generating an average color value of the plurality of pixels in the first color space, converting the average color value in the first color space to three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve, and gradually adjusting a white balance of the image to meet the three primary color target gains according to the average color value in the first color space and the three primary color gains in the second color space. The first color space and the second color space are different.

Abstract: A method includes selecting, from an image, a target block of pixels to be compressed, selecting a neighbor column of the target block, selecting a neighbor row of the target block, generating two or more basis values based on at least one of a portion of pixels of the neighbor column and a portion of pixels of the neighbor row, calculating a gradient based on the two or more basis values, and assigning at least one predictor for the target block using the calculated gradient.

Abstract: A code reader for reading an optical code is provided that has a linear image sensor having a plurality of linear arrangements of light reception pixels for recording image data having the code and a control and evaluation unit that is configured to locate and read the code in the image data, wherein the light reception pixels have a different spectral sensitivity. Here, at least one linear arrangement is a white line whose reception pixels are sensitive to white light for recording a gray scale image and the other linear arrangements are color lines whose reception pixels are sensitive to light of only one respective color for recording a color image.

Abstract: An image display apparatus displays an image to be printed on a desired printing medium by using a desired printing apparatus. In this process, medium images corresponding to the tint of the printing medium illuminated with one of illumination light fluxes having a plurality of color temperatures are displayed on a specific display with the medium images associated with the color temperatures of the illumination light fluxes, and specification of one of the medium images or the color temperature associated with the medium image is accepted. When the specification is made, an illumination light flux reflecting image having the tint of the image printed on the printing medium by the printing apparatus and illuminated with the illumination light flux having the color temperature corresponding to the specification is displayed on the specific display.

Abstract: Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.

Abstract: Disclosed embodiments relate to instructions for fast element unpacking. In one example, a processor includes fetch circuitry to fetch an instruction whose format includes fields to specify an opcode and locations of an Array-of-Structures (AOS) source matrix and one or more Structure of Arrays (SOA) destination matrices, wherein: the specified opcode calls for unpacking elements of the specified AOS source matrix into the specified Structure of Arrays (SOA) destination matrices, the AOS source matrix is to contain N structures each containing K elements of different types, with same-typed elements in consecutive structures separated by a stride, the SOA destination matrices together contain K segregated groups, each containing N same-typed elements, decode circuitry to decode the fetched instruction, and execution circuitry, responsive to the decoded instruction, to unpack each element of the specified AOS matrix into one of the K element types of the one or more SOA matrices.

Abstract: An image processing apparatus, an imaging apparatus, an image processing method, and a non-transitory computer readable medium for storing an image processing program capable of controlling the brightness of a desired color in a captured image are provided. A brightness and color difference conversion processing unit generates a reference first brightness signal “Y1” and color difference signals “Cb and Cr” from color signals “R1, G1, and B1” of three primary colors after gamma conversion. A second brightness signal generation unit generates a second brightness signal “Y2” in which a value of a brightness signal corresponding to a target color is decreased with respect to the first brightness signal “Y1” from the color signals “R1, G1, and B1”. The brightness of the desired target color can be controlled according to the reference first brightness signal “Y1” and the second brightness signal “Y2”.

Abstract: A method of controlling backlight brightness, applicable to a display device including a backlight module having a plurality of dimming zones, includes: determining a target image display mode; determining a target filter core according to the target image display mode; obtaining initial backlight control data by acquiring initial backlight control values of respective dimming zones according to image data of respective image segments of a first image, wherein the respective image segments correspond to the respective dimming zones in a one-to-one correspondence; obtaining target backlight control data by performing smoothing-filtering on the initial backlight control data with the target filter core, wherein the target backlight control data comprises respective target backlight control values of the plurality of dimming zones; and controlling backlight brightness of the respective dimming zones according to the respective target backlight control values.

Abstract: A display device includes a substrate in which a plurality of sub pixels including an emission area and a circuit area is defined. The display device further includes a storage capacitor disposed in the circuit area and including a first capacitor electrode and a second capacitor electrode on the first capacitor electrode. The display device further includes a driving transistor disposed in the circuit area. The display device further includes a light emitting diode disposed in each of the plurality of sub pixels. The plurality of sub pixels includes a red sub pixel, a green sub pixel, a blue sub pixel, and a white sub pixel. And a distance between the first capacitor electrode and the second capacitor electrode in the white sub pixel is smaller than a distance between the first capacitor electrode and the second capacitor electrode in the red sub pixel, the green sub pixel, and the blue sub pixel.

Abstract: An imaging unit 23 generates an image signal of a captured image. An optical sensor unit 25 generates a sensor signal that has a wider view angle than that of the imaging unit 23 and is according to a spectral characteristic upon obtaining the captured image. A controller 50 determines reliability of a light-source estimation result based on the image signal generated by the imaging unit 23, using a light-source estimation result based on the sensor signal generated by the optical sensor unit 25. For example, the controller 50 classifies the light-source estimation result based on the image signal into categories of light sources capable of being estimated based on the sensor signal, and compares the category into which the light-source estimation result is classified with the light source estimated based on the sensor signal.

Abstract: Optical element(s) of an image capture device may be changed. Characteristic(s) of the optical element(s) may be determined based on shading map corresponding to an image captured by the image capture device and the lighting condition during the capture of the image. The image capture device may be operated in accordance with the determined characteristic(s) of the optical element(s).

Abstract: A method of stabilizing data of digital signals is provided. The method includes steps of: (a) determining whether or not next input data is larger than previous output data, if yes, adding a base value to a trend value and then performing step(c), if no, performing step(b); (b) determining whether or not the next input data is smaller than the previous output data, if yes, subtracting the base value from the trend value and performing step(c), if no, performing step(c); (c) determining whether or not the trend value is larger than a positive threshold, if yes, subtracting a trend correction coefficient from the previous output data, if no, performing step(d); and (d) determining whether or not the trend value is smaller than a negative threshold, if yes, adding the trend correction coefficient to the previous output data; if no, outputting the previous output data.

Abstract: Provided in the present disclosure are a method, an apparatus and a system for determining feature data of image data, and a storage medium. Wherein, the method comprises: acquiring features of image data, the features comprising a first feature and a second feature, wherein, the first feature is extracted from the image data using a first model, the first model being trained in a machine learning manner, and the second feature is extracted from the image data using a second model, the second model being constructed based on a pre-configured data processing algorithm; and determining feature data based on the first feature and the second feature. The present disclosure solves the technical problem that features recognized by the AI may not be consistent with human recognized features.

Abstract: A method, apparatus, and a non-transitory computer-readable storage medium for temporally stabilizing White Point (WP) information in an Auto White Balance (AWB) process. The method may include receiving lux level, AWB statistics, and input WP. The method also include generating a histogram of the AWB statistics. The method may also include generating, from the histogram, a confidence value for the input WP. The method may also include determining a major colour count. The method may also include determining a threshold value based on the major colour count and the lux level. The method may also include setting an update state to locked when the confidence value is below the threshold value and otherwise setting it to unlocked. The final WP information is obtained from a previous frame when the update state is locked and otherwise from the input WP information.

Abstract: In one implementation, a method includes obtaining an image. The method includes splitting the image to produce a high-frequency component image and a low-frequency component image. The method includes downsampling the low-frequency component image to generate a downsampled low-frequency component image. The method includes correcting color aberration of the downsampled low-frequency component image to generate a color-corrected downsampled low-frequency component image. The method includes upsampling the color-corrected downsampled low-frequency component image to generate a color-corrected low-frequency component image. The method includes combining the color-corrected low-frequency component image and the high-frequency component image to generate a color-corrected version of the image.

Abstract: Adjusted overlaid images are generated in response to at least one color reference object or color reference point. A display is driven to present the adjusted overlaid image.

Abstract: A content analyzer determines whether various types of modification have been made to images. The content analyzer computes JPEG ghosts from the images that are concatenated with the image channels to generate a feature vector. The feature vector is provided as input to a neural network that determines whether the types of modification have been made to the image. The neural network may include a constrained convolution layer and several unconstrained convolution layers. An image fake model may also be applied to determine whether the image was generated using a computer model or algorithm.

Abstract: The present disclosure provides geological linear body extraction method based on tensor voting coupled with Hough transformation, including pre-processing a remote sensing image to obtain a pre-processed remote sensing image; selecting three optimal wavebands from N multi-spectral wavebands of the pre-processed remote sensing image, so as to obtain a remote sensing image combined by the optimal wavebands, N being a natural number greater than or equal to 3; using Gaussian high-pass filtering to perform sharpening processing on the remote sensing image combined by the optimal wavebands, so as to enhance linearized edge information; performing edge detection on the remote sensing image having enhanced linearized edge information, so as to obtain all edge points in the remote sensing image; and converting all the edge points in the remote sensing image from an image coordinate system to a parameter coordinate system, and extracting a geological linear body from the parameter coordinate system.

Abstract: A method of generating compensation data in a display device includes setting a pixel group including a first target pixel and first non-target pixels adjacent to the first target pixel among a plurality of pixels of a display panel; switching on the first target pixel and switching off the first non-target pixels to generate a first captured image and store the first captured image; switching on the first target pixel and the first non-target pixels to generate a second captured image and store the second captured image; switching off the first target pixel and switching on the first non-target pixels to generate a third captured image and store the third captured image; and calculating luminance correction data of the first target pixel based on the stored first to third captured images.

Abstract: A comparison area detection unit of image processing circuitry detects an image area of a fading determination object on the basis of an image signal generated by an image capturing unit using a color filter as a comparison area. A color information generation unit generates color information from the image signal of the comparison area and uses the color information as comparison target information. A color information comparison unit compares the color information of the fading determination object as fading determination reference information with the comparison target information. A fading information generation unit generates fading information indicating that a fading level of the color filter exceeds a predetermined level or the fading level of the color filter on the basis of comparison information indicating a comparison result between the fading determination reference information and the comparison target information. The fading state of the color filter can be detected with precision.

Abstract: A video processing system includes an input port and a video processing circuit. The input port obtains device information of a display panel. The video processing circuit obtains an input frame and the device information, configures an image enhancement operation according to the device information, generates an output frame by performing the image enhancement operation upon the input frame, and transmits the output frame to the display panel for video playback.

Abstract: A calculation device comprises a color evaluation unit that acquires a sensor color and four or more reference colors from photography data from a measurement time when an indication object was photographed in a second photography environment; determines coefficients for color conversion between a first and the second photography environments based on the amount of change from color information for the reference colors in the first photography environment, which has been read from a calculation device storage unit, to color information for the reference colors in the second photography environment, which has been acquired from the photography data; and uses the sensor color acquired from the photography data from the measurement time and the color conversion coefficients to correct the sensor color to the color that would have been photographed in the first photography environment by solving a conversion formula including terms representing an affine transformation consisting of translation.

Abstract: Embodiments of the present disclosure provides an image processing method, comprising: acquiring an initial image comprising an image of pupil; acquiring an accumulative histogram set of grayscale values of pixels in the initial image; determining a threshold for binarizing the initial image according to a grayscale value corresponding to a target region in respective accumulative histograms in the accumulative histogram set, wherein the target region corresponds to the image of pupil in the initial image; and binarizing the initial image according to the threshold. An image processing apparatus and a wearable device are further provided.

Abstract: An image quality of a captured image captured by a camera is adjusted to be close to a predetermined image quality. A first image quality evaluation value is obtained on the basis of developed image data obtained by performing development processing on captured image data. An image quality parameter group in the development processing is obtained to decrease a difference between the first image quality evaluation value and a second image quality evaluation value serving as a reference. Alternatively, a plurality of first image quality evaluation values is obtained on the basis of a plurality of pieces of developed image data obtained by performing development processing on each of a plurality of pieces of captured image data. An image quality parameter group in the development processing is obtained to decrease a difference between each of the plurality of first image quality evaluation values and a second image quality evaluation value.

Abstract: A system and method for improving the detail of a digital signal comprising at least three dimensions can be implemented by extracting a plurality of data cubes containing two x-planes, two y-planes, two z-planes, and amplitude information at eight locations in this x, y, and z space. A primary and secondary direction and a data plane for each data cube can then be selected based on difference calculations of eight locations in the x, y, and z directions, resulting in a 2×2 data square. This data square can then be used to compute a network neighborhood, which can subsequently be used to calculate first and second order gradient information. The first and second order gradient information can be used to construct an output signal that has greater detail than the input signal.

Abstract: A method for video frame interpolation, a related electronic device and a storage medium is disclosed. A video is obtained. An (i?1)th frame and an ith frame of the video are obtained. Visual semantic feature maps and depth maps of the (i?1)th frame and the ith frame are obtained. Frame interpolation information is obtained based on the visual semantic feature maps and the depth maps. An interpolated frame between the (i?1)th frame and the ith frame is generated based on the frame interpolation information and the (i?1)th frame and is inserted between the (i?1)th frame and the ith frame.

Abstract: An apparatus, system, and method for the calibration of LED light sources and more specifically backlight LEDs of control device buttons to achieve color uniformity and to accurately create colors that are consistent from button to button and device to device.

Abstract: Systems, devices, media, and methods are presented for segmenting an image of a video stream with a client device, extracting one or more color from the image and modifying the video stream. The systems, devices, and method convert images of the set of images to a coordinate representation, perform a histogram equalization, identifies one or more colors of the coordinate representation based on an area of interest, determines a prevailing color, and applies the prevailing color to pixels of the video stream.

Abstract: Computer-based systems, methods and computer program products for colorimetric mapping are provided. In one embodiment of the method, the method includes obtaining a digital reference image, including: illuminating a known reference source with an arbitrary illumination; and determining an observed illumination by receiving light signals from the reference source at an image sensor; determining a color-balance matrix by minimizing an error between colorimetric values of the digital reference image and color corrected pixel values; applying the color-balance matrix to the digital reference image to produce a color-corrected image; determining a color-space transformation matrix that transforms a color space of the image sensor to a perceptual color space; generating a transformed image by applying the color-space transformation matrix to the color corrected image; and outputting the transformed image.

Abstract: Disclosed are a method and apparatus, and a storage medium for processing a style image. The method includes: acquiring an initial image and a corresponding style image with brightness and chroma being separately represented; determining a first to-be-processed area in the style image, and determining a second to-be-processed area corresponding to the first to-be-processed area in the initial image; replacing a brightness component of the first to-be-processed area with a brightness component of the second to-be-processed area for the style image; filtering a chroma component of the first to-be-processed area for the style image; and generating an output image according to a processed style image.

Abstract: An apparatus that displays a display image based on data about an input image comprises a liquid crystal panel, a backlight including a plurality of light source units corresponding to a plurality of divided regions of the liquid crystal panel; and a controller configured to control each of the plurality of light source units, wherein the controller changes, based on a feature amount related to a luminance in a first region of the input image, a light emission luminance of a light source unit, among the plurality of light source units, corresponding to a second region different from the first region of the input image.

Abstract: An image processing apparatus is disclosed. The present image processing apparatus comprises: a memory for storing a low dynamic range (LDR) image and a processor for adjusting the brightness of the LDR image by means of a pixel-specific brightness ratio identified using a first parameter, and acquiring a high dynamic range (HDR) image by adding or subtracting a pixel-specific correction value identified using a second parameter in the brightness-adjusted LDR image.

Abstract: There is provided an endoscope system that can obtain a high-resolution endoscopic image not subjected to demosaicing processing as necessary. The endoscope system includes a light source unit that emits illumination light, an image sensor that includes a color filter having one color for each pixel among color filters having a plurality of colors and picks up an image of a subject using the illumination light, a demosaicing processing section that performs demosaicing processing on RAW images having the respective colors and corresponding to the color filters having the respective colors, and a switching section that switches whether to perform the demosaicing processing using spectral information of the illumination light.

Abstract: Systems and methods are provided for reviewing printed jobs. On embodiment is a system comprising a print review device. The print review device includes a memory that stores an image of a test pattern printed by printheads of a printer, and a controller that generates a Graphical User Interface (GUI), for presentation at a display, depicting states of the printheads based on the image, receives input from a user selecting one of the printheads, correlates the printhead with a portion of the image, and presents the portion of the image for review at the GUI. The controller also identifies locations on the portion that are correlated with nozzles of the printhead, and selectively highlights the locations based on state information for the nozzles.

Abstract: The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.