Abstract: Methods and systems for image processing are provided. A target image may be acquired, wherein the target image may include a plurality of elements, an element of which may correspond to a pixel or a voxel. The target image may be decomposed into at least one layer, wherein the at least one layer may include a low frequency sub-image and a high frequency sub-image. The at least one layer may be transformed. The transformed layer may be reconstructed into a composite image.

Abstract: Techniques for identifying and enumerating candidate target cells within a biological fluid specimen are described. A digital image of the biological fluid specimen is received, and one or more candidate regions of pixels in the digital image are identified by identifying connected regions of pixels of a minimum intensity having a size between a minimum size and a maximum size and an aspect ratio that meets a threshold. For each candidate region of at least one of the one or more candidate region, whether the portion of the image corresponding to the candidate region includes more than a threshold number of intensity levels is determined. If the portion of the image corresponding to the candidate region includes more than the threshold number of intensity levels the portion of the image is continued to be treated as a candidate for classification.

Abstract: A grayscale data compensation method and apparatus and a driver chip. The grayscale data compensation method includes acquiring an input display brightness instruction value; determining a coefficient variation value corresponding to the input display brightness instruction value according to a relationship in magnitude between the input display brightness instruction value and a range boundary instruction value corresponding to a range boundary; and compensating grayscale data according to the coefficient variation value and a reference compensation coefficient pre-stored under a standard brightness instruction value.

Abstract: Systems, methods, and devices are provided for providing intra-frame luminance scaling to avoid drawing excessive power while still providing exceptional brightness. An instantaneous average pixel luminance of an electronic display may be determined. The instantaneous average pixel luminance may correspond to an amount of light currently being emitted by the electronic display due to a previous image frame and a current image frame. Based at least in part on the instantaneous average pixel luminance, the luminance of a subset of pixels of image data of the current image frame may be adjusted, thereby allowing the electronic display to operate at a relatively high brightness level without exceeding a power limit.

Abstract: A system and method for classifying digital images is presented. The method includes extracting a plurality of descriptive data items of a transaction evidence from a digital image indicating a plurality of purchased items; searching in data source for informative data based on the extracted plurality of descriptive data items, wherein the informative data includes a price; determining a correlated amount for each of at least one of the plurality of descriptive data items, wherein the correlated amount determined for one of the descriptive data items defines a paid price for the descriptive data item; determining, based on at least one expense type classification rule, a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and each of the correlated amount; and classifying the digital image based on the primary expense type.

Abstract: A system and method for classifying digital images of transaction evidences. The method includes extracting a plurality of descriptive data items and a plurality of numeric values of a transaction evidence from a digital image; determining an association between at least one of the plurality of numeric values and at least one of the plurality of descriptive data items; determining, based on at least one expense type classification rule, at least a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and the plurality of numeric values; and classifying the digital image based on the determined at least one primary expense type.

Abstract: Disclosed herein is a method and apparatus for processing a thermal image. The method includes: performing histogram stretching on thermal image data of the thermal image; and adjusting a histogram stretching scale for thermal image data of a next frame using histogram data of the thermal image data on which the histogram stretching is performed. As a result, it is possible to mitigate that an image becomes less recognizable as thermal image data is deteriorated or saturated.

Abstract: An electronic device is provided. The electronic device includes a camera, a communication interface, and a processor configured to capture an image of a background of a display device through the camera, to divide the captured image into a plurality of blocks, to compare a target gradation value with gradation values of the each of the plurality of blocks, to adjust the gradation values of the each of the plurality of blocks, and to transmit an image of which the gradation values are adjusted, to the display device through the communication interface, wherein the sizes of the plurality of blocks are identified based on a background pattern of the display device.

Abstract: Methods and apparatuses are disclosed herein for performing tone mapping and/or contrast enhancement. In some examples, a block mapping curve is low-pass filtered with block mapping curves of surrounding blocks to form a smoothed block mapping curve. In some examples, overlapped curve mapping of block mapping curves, including smoothed block mapping curves, is performed, including weighting, based on a pixel location, block mapping curves of a group of blocks to generate an interpolated block mapping curve and applying the interpolated block mapping curve to a pixel to perform ton mapping and/or contrast enhancement.

Abstract: A multiple frame x-ray imaging system is disclosed with capability of differential x-ray exposure of different input areas of an image intensifier or other x-ray detector. Collimators are provided to control the amount of radiation in various regions of the image and image processing is provided to provide the display of images of different qualities.

Abstract: This image pickup system includes an image pickup unit that captures a subject to obtain a pixel signal, and a processing circuit that generates a first video signal having a first dynamic range from the pixel signal generated by the image pickup unit, and generates a second video signal having a second dynamic range correlated with the first dynamic range.

Abstract: An image processing apparatus comprising at least one memory and at least one processor which function as: an acquisition unit configured to acquire a moving image; and a generation unit configured to generate a thumbnail image from the moving image, wherein in a case where the moving image is a high dynamic range (HDR) moving image, the generation unit generates the thumbnail image of which gamma is equal to a gamma of the moving image and bit depth is lower than a bit depth of the moving image.

Abstract: A method for image processing, an electronic device, and a non-transitory computer readable medium are disclosed. The method includes obtaining an image in a chrominance-luminance separated color mode; traversing luminance components of all pixels in the image to determine a number of pixels corresponding to the respective luminance component; generating an original luminance distribution of the image based on the luminance components and the number of the pixels corresponding to the respective luminance component; generating a luminance mapping relationship between a preset standard luminance distribution and the original luminance distribution; and adjusting the luminance components of the pixels in the image based on the luminance mapping relationship to obtain a processed image.

Abstract: A control method, comprising: a photo analog signal or a photo digital signal of the background environment within the viewing angle range of a use is captured by a camera (2), the photo analog signal or the photo digital signal is converted into digital photo data, a gray level analysis with respect to the photo data is performed, a state parameter of the background environment within the viewing angle range of the user is generated, based on a preset correspondence relationship between a background light and a display light, display parameters of a display screen (1) are adjusted according to the state parameter of the background environment, and/or based on a preset correspondence relationship between the background light and a compensating light, an illumination parameter of a background illumination light is adjusted according to the state parameter of the background environment, thus allowing the display parameters of the display screen (1) to match an illumination state of the background environment wi

Abstract: Decrease of the frame rate is suppressed in a solid-state image pickup device that generates a frame having an increased dynamic range. A measurement section measures a reception light amount in each of a plurality of regions to generate a measurement result. A selection section selects one of a plurality of exposure periods different from each other based on the measurement result in each of the plurality of regions. An image data generation section performs exposure for each of the plurality of regions over the selected exposure period to generate image data. An image processing section adjusts a value of the image data generated for each of the plurality of regions based on the measurement result.

Abstract: The present disclosure relates to a method and an apparatus for controlling a drive current of a display panel, an electronic device, and a storage medium. A standard drive current of the display panel is calculated based on the power function of the display panel. An actual drive current is detected in a working process of the display panel, and it is determined whether the actual drive current exceeds the standard by comparing the actual drive current with the standard drive current. The actual drive current is regulated if the actual drive current exceeds the standard.

Abstract: An image processing apparatus includes circuitry configured to: acquire a plurality of pieces of image data; determine, for each of the plurality of pieces of image data, a first representative color indicating a feature of a color representative of the image data, based on pixel values of the image data; calculate, based on the determined first representative color of the plurality of pieces of image data, a second representative color indicating a feature of a color representative of the plurality of pieces of image data; calculate, based on the first representative color and the second representative color of image data to be corrected, a correction parameter for color correction of the image data to be corrected among the plurality of pieces of image data; and perform the color correction on the image data to be corrected using the calculated correction parameter.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: An advanced driver assistance system (ADAS) and method for a vehicle utilize a light detection and ranging (LIDAR) system configured to emit laser light pulses and capture reflected laser light pulses collectively forming three-dimensional (3D) LIDAR point cloud data and a controller configured to receive the 3D LIDAR point cloud data divide the 3D LIDAR point cloud data into a plurality of cells corresponding to distinct regions surrounding the vehicle, generate a histogram comprising a calculated height difference between a maximum height and a minimum height in the 3D LIDAR point cloud data for each cell of the plurality of cells, and using the histogram, perform at least one of adaptive ground removal from the 3D LIDAR point cloud data and traffic level recognition.

Abstract: The present invention provides a technology that separates a low-contrast-ratio image into sublayer images, classifies each sublayer image into several categories in accordance with the characteristics of each sublayer image, and learns a transformation matrix representing a relationship between the low-contrast-ratio image and a high-contrast-ratio image for each category. In addition, the present invention provides a technology that separates an input low-contrast-ratio image into sublayer images, selects a category corresponding to each sublayer image, and applies a learned transformation matrix to generate a high.

Abstract: The present application discloses an image optimization method and related device, The method includes: detecting an image and determining a skin color region and a non-skin color region of the image; and determining a number T of expansion regions according to the skin color region, and performing a saturation optimization process on the T expansion regions, wherein the non-skin color region includes the T expansion regions, the number T is a positive integer, a saturation of a first pixel in the expansion region after the saturation optimization process is a first saturation, a saturation of a second pixel in the expansion region after the saturation optimization process is a second saturation, the first saturation is greater than or equal to the second saturation if a distance of the first pixel from the skin color region is greater than a distance of the second pixel from the skin color region.

Abstract: An illuminance calculation unit detects an illuminance of an image when the image is captured. Based on the detected illuminance, a gamma correction amount calculation unit corrects at least one of a minimum output luminance value and a maximum output luminance value in a gamma characteristic for correcting a gradation characteristic of a luminance of the image. A gamma setting unit corrects the gradation characteristic of the luminance of the image with the gamma characteristic corrected based on the illuminance.

Abstract: An apparatus for image correction is configured to execute a second image generation process that includes execution of a process for emphasizing a contrast for a first image to generate a second image, execute a ratio calculation process that includes calculation, based on a relation between a frequency distribution of at least one of a luminance value, an edge strength and a color component in the first image or the second image and a value of the at least one for each pixel, of a synthesis ratio of the first image to the second image for the pixel, and execute a synthesis process that includes synthesis of the first image and the second image based on the synthesis ratio for each pixel.

Abstract: A data processing method for calculating a medical display image to be displayed on a display device, comprising the steps of acquiring at least one image dataset representing a medical image of a patient, acquiring a patient-specific information dataset representing patient-specific information and calculating the display image from the at least one image dataset on the basis of a template, the template being selected from a plurality of templates in accordance with the acquired patient-specific information.

Abstract: The present disclosure relates to a worn banknote identification method and an ATM (Automated Teller Machine) using the same, and more particularly, to a worn banknote identification method which acquires an image of a banknote inserted into an ATM, divides pixels of the acquired banknote image into a bright region and dark region depending on a brightness distribution of the banknote image, determines the wear level of the banknote by comparing a difference between the average brightness values of the two regions to a preset reference value, and separately stores the inserted banknote into a reject box depending on the wear level of the banknote, and an ATM using the same.

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: An image contrast enhancement method and an apparatus thereof are disclosed, which calculate the degree of influencing the clarity according to the influence feature (e.g., heavy fog, dust, smoke, or etc.) in the image, and then adjust the brightness of the pixels corresponding to features of influencing the clarity according to the degree, thereby enhancing image contrast and removing phenomenon of influencing the clarity in the image.

Abstract: Provided is an image-capturing device including: a visible light signal generating unit that extracts a visible light signal from a pixel signal from an image-capturing element; a light source color estimating unit that estimates a color temperature of a light source from the visible light signal; a white-balance adjusting unit that performs white balance correction on the visible light signal according to an estimation result; a non-visible light signal generating unit that extracts a non-visible light signal from the signals from the image-capturing element; and an image composing unit that combines and outputs the visible light signal on which the white balance correction was performed and the non-visible light signal.

Abstract: A user adaptive image compensator includes a feature extractor, a compensated image generator, an image selector, and a preference parameter updater. The feature extractor extracts features from an input image. The compensated image generator generates compensated preference parameters based on a preference parameter. The compensated image generator generates a plurality of compensated images by compensating the input image based on the compensated preference parameters. The image selector displays the compensated images to a user. The image selector outputs a selected compensated image, which is selected from the compensated images by the user, as an output image. The image selector outputs a selected compensated preference parameter from the compensated preference parameters and which corresponds to the selected compensated image. The preference parameter updater updates the preference parameter based on the selected compensated preference parameter and the extracted features.

Abstract: The disclosure herein relates to business content analysis. In particular, the disclosure relates to systems and methods of an expense management system operable to perform automatic business documents' content analysis for generating business reports associated with automated value added tax (VAT) reclaim, Travel and Expenses (T&E) management, Import/Export management and the like. The system is further operable to provide various organizational expense management aspects for the corporate finance department and the business traveler based upon stored data. Additionally, the system is configured to use a content recognition engine, configured as an enhanced OCR mechanism used for extracting tagged text from invoice images and also provides continuous learning mechanism in a structured mode allowing classification of invoice images by type, providing continual process of improvement and betterment throughout.

Abstract: Systems, apparatus, articles, and methods are described below including operations for video tone mapping to convert High Dynamic Range (HDR) content to Standard Dynamic Range (SDR) content.

Abstract: The subject matter of this specification can be implemented in, among other things, a method that includes identifying edges of a section of a document in a source image that includes at least one row of text. The method includes identifying characters in the document. The method includes identifying word portions. The method includes generating polynomials that approximate points of the characters within the word portions. The method includes generating a second polynomial that approximates the points of the characters of word portions. The method includes identifying a stretching coefficient of the row of text based on a length of the section between the edges relative to a length of the second polynomial. The method includes mapping portions of the source image along the row of text to new positions in a corrected image based on the second polynomial and the stretching coefficient.

Abstract: Provided are a method and an apparatus for adjusting image brightness. The method includes: acquiring an image to be processed, and acquiring a single-channel brightness image based on grayscales of each channel of the image to be processed; performing Gaussian filtering on the single-channel brightness image to acquire a Gaussian filtered image; adjusting grayscales of the Gaussian filtered image based on the grayscales of the Gaussian filtered image and a preset proportion; comparing the Gaussian filtered image after adjustment with the Gaussian filtered image before adjustment to acquire a grayscale change rate of each pixel through adjustment; processing the image to be processed based on the grayscale change rate of each pixel to acquire a processed image; and outputting the processed image.

Abstract: A hybrid phase-in method mitigates the flicker and rolling artifact based on screen change detection or the combination of screen change detection and image spatial analysis. It applies, for example, to solutions that involve backlight and pixel modulation including global dimming and local dimming. If it is full screen change, then no phase-in is needed and the backlight and pixel change can be applied instantly. If it is partial screen change, then content type and spatial image analysis may be used to decide whether to use phase-in or not. The spatial image analysis concept provides additional useful information besides the image brightness analysis for display backlight power saving solutions to make better tradeoffs between power saving and visual quality.

Abstract: A non-transitory machine readable medium that has a computer program for adjusting color values of an image represented in a color space is described. The image includes a set of pixels. Each pixel includes a set of color values. The computer program displays a composite bump on a tonal adjustment graph that is defined along a particular color component of the color space. The composite bump is generated by blending several bumps on the tonal adjustment graph. In response to receiving an input on a location on the tonal adjustment graph, the computer program creates a new bump based on the input and blending the new bump with the composite bump to create a modified composite bump. The computer program adjusts the color values of the image based on the modified composite bump.

Abstract: The present invention relates to a method and an apparatus for transmitting and receiving an ultra-high definition broadcasting signal for high dynamic range representation in a digital broadcasting system. An apparatus for receiving an ultra-high definition broadcasting signal according to an embodiment of the present invention comprises: a receiving unit for receiving the ultra-high definition broadcasting signal including ultra-high definition broadcasting contents and high dynamic range metadata, the high dynamic range metadata indicating brightness information represented in the ultra-high definition broadcasting contents and information on a method for converting the ultra-high definition broadcast contents to be adapted to a display environment of the receiving apparatus; a decoder for decoding the received ultra-high definition broadcasting contents; and a reproduction unit for reproducing the decoded ultra-high definition broadcasting contents.

Abstract: An image display apparatus according to the present invention, includes: a first acquisition unit configured to acquire captured image data from an image capturing apparatus; a second acquisition unit configured to acquire operation information representing a user operation performed on the image capturing apparatus, from the image capturing apparatus; an image processing unit configured to generate processed image data by carrying out image processing corresponding to the operation information acquired by the second acquisition unit on the captured image data acquired by the first acquisition unit; and a display unit configured to display a processed image based on the processed image data on a screen.

Abstract: The present disclosure relates to a gray-scale correction method of a display panel, comprising: selecting a plurality of measurement points and specifying a reference point; specifying a plurality of measurement gray-scales, and, under each measurement gray-scale, measuring actual gray-scale of each measurement point when the brightness thereof reaches a reference brightness, wherein the reference brightness is the brightness of the reference point; determining a gray-scale correction coefficient of each measurement point under each measurement gray-scale according to the corresponding relationship between the actual gray-scale and the measurement gray-scale, and establishing an original gray-scale correction coefficient table; extending the original gray-scale correction coefficient table to a gray-scale correction coefficient table of pixel points of the display panel under all gray-scales through linear interpolation algorithm; when a data voltage is to be applied to a pixel point under a gray-scale, sear

Abstract: Methods, systems and computer-readable storage media relate to image-guided treatment planning and treatment assessment. The methods, systems, and the computer-readable storage medias according to embodiments can analyze treatment response and can determine an accurate, outcome-based response assessment of treatment (e.g., radiation treatment). The methods may include a method for determining a treatment response. The method may include registering at least a first image data and a second image data of a subject, the first image data corresponding to a first time point, the second image data corresponding to a second time point, the first time point and the second time point being different with respect to a treatment session and/or treatment stage. The method may include processing the registered image to determine a treatment response. The registering may be based on deformable registration.

Abstract: A medical image processing apparatus and a computer-readable storage medium are shown. The medical image processing apparatus includes an emphasizing processing unit, a positioning unit, and a difference image generating unit. The emphasizing processing unit performs processing to emphasize a specific structure among structures composing a subject on each of a first image and a second image obtained by capturing the same subject at different points in time. The positioning unit matches a position of the specific structure in the first image and the second image based on the first image and the second image with the specific structure emphasized. The difference image generating unit generates a difference image between the first image and the second image with the position of the specific structure matched.

Abstract: A device 16 for displaying X-ray images, the device comprises a display 20 for displaying an X-ray image, a workstation 22 for processing image data and a user interface 24 for receiving commands from a user of the device. The user interface 24 is adapted for allowing the user to select a master image 34a and a slave image 34b from a plurality of images. The workstation 22 is adapted for transforming the slave image 34b by generating a color transformation 40 based on the master image 34a and the slave image 34b for optically adapting the slave image to the master image and by applying the color transformation 40 to the slave image 34b. The display 20 is adapted for displaying the transformed slave image 42.

Abstract: Generating by a digital processing device, of a first digital image from a second digital image, by: for each pixel of the second image, determining a pixel luminance; dividing the interval ranging from the lowest to the highest luminance into a plurality of sub-intervals; and determining the value of at least one pixel of the first image by multiplying the value of a pixel of the second image by a gain determined by interpolation by taking into account the distance of the pixel luminance of the second image to the limits of the sub-interval containing this luminance.

Abstract: A system and method are described for enhancing readability of scanned document images by operating on each document individually. Via principle component analysis, edge detection and local color contrast computation, an automated method removes image background noise and improves sharpness of the scripts and characters.

Abstract: A system and method for processing an infrared image. The infrared image is processed to provide a background portion of the infrared image and a detail portion of the infrared image. The background portion and/or the detail portion is scaled to provide a level of the detail portion relative to a level of the background portion. The background portion and the detail portion are merged after the scaling to provide a processed infrared image. The processed infrared image is stored.

Abstract: An image processing apparatus that corrects gradation of a first image, which is one image from among the image for left eye and the image for right eye, and gradation of a second image, which is the other image from among the image for left eye and the image for right eye, the image processing apparatus comprises: a detection unit that detects parallax between the first image and second image; a correction unit that detects a pixel in the second image corresponding to a pixel in the first image on the basis of the parallax, and corrects a gradation value of the pixel in the first image and a gradation value of the pixel in the second image corresponding to the pixel in the first image by using a single gradation conversion curve.

Abstract: The disclosure describes an image processing device and an image processing method for obtaining a modified image in real time using FPGA having general processing capacity or hardware circuit of the parallel computation.

Abstract: A controller and method have been described for use in conjunction with a sequential display system including a display having a plurality of pixels. A series of update cycles is performed on the display to establish the grayscale value of each pixel for viewing on the display based on the pixel values for a video frame by selectively switching each pixel responsive to the update cycles such that a total number of the update cycles is less than the total number of pixel values of the frame. Statistical characterization of frame data can be the basis of the reduction of the number of update cycles.

Abstract: A method for brightness and contrast enhancement includes computing a luminance histogram of a digital image, computing first distances from the luminance histogram to a plurality of predetermined luminance histograms, estimating first control point values for a global tone mapping curve from predetermined control point values corresponding to a subset of the predetermined luminance histograms selected based on the computed first distances, and interpolating the estimated control point values to determine the global tone mapping curve. The method may also include dividing the digital image into a plurality of image blocks, and enhancing each pixel in the digital image by computing second distances from a pixel in an image block to the centers of neighboring image blocks, and computing an enhanced pixel value based on the computed second distances, predetermined control point values corresponding to the neighboring image blocks, and the global tone mapping curve.

Abstract: A reading unit reads a first side of a printed material having first image data printed on the first side and second image data printed on a second side, the second side being a back side of the first side, in order to obtain image data. A density determination unit determines whether a density of the second image data exceeds a predetermined density. A comparison unit compares a density of the image data obtained by the reading unit and a density of the first image data, and produces a comparison result. A determination unit, in a case when a density difference between the density of the image data and the density of the first image data exceeds a threshold as the comparison result of the comparison unit, determines that the printed material includes a defect portion.

Abstract: Devices and methods for obtaining image data that preserves highlight details and shadow details from image data from a high dynamic range (HDR) image sensor are provided. For example, an image signal processor may include a first data path of a relatively high bit depth, front-end image processing logic, and a second data path of a relatively low bit depth. The first data path may receive HDR image data from an image sensor. The front-end image processing logic may convert the HDR image data into lower-bit-depth image data, while preserving highlight details and/or shadow details of the HDR image, by using at least two transfer functions that preserve different subsets of the high dynamic range. The second data path may output this lower-bit-depth image data to other image processing logic for additional image processing.