Abstract: A method for generating a high-dynamic-range (HDR) image includes (a) denoising a short-exposure-time image, wherein the denoising comprises applying a first guided filter to the short-exposure-time image, the guided filter utilizing a long exposure-time-image as its guide, (b) after the step of denoising, scaling at least one of the short-exposure-time image and the long-exposure-time image to place the short-exposure-time image and the long-exposure-time image on a common radiance scale, and (c) after the step of scaling, merging the short-exposure-time image with the long-exposure-time image to generate the HDR image.

Abstract: Embodiments of this disclosure include a training method for an image processing model. In the method, parameters of an encoder in the image processing model are updated according to a to-be-replaced face in an original image, to configure the encoder to encode the to-be-replaced face to obtain a visual feature of the to-be-replaced face. Parameters of a decoder in the image processing model are updated according to the to-be-replaced face in the original image, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face. The parameters of the decoder are further updated according to a target face in a target image without changing the parameters of the encoder, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face and obtain a target face having the same visual feature as the to-be-replaced face.

Abstract: Provided is a method for compensating a displayed picture in a display screen. The display screen includes a plurality of regions, each of the plurality of regions including a plurality of pixels; the method includes: determining transformation matrices corresponding to pixels in the plurality of regions based on texture complexities of pictures to be displayed in the plurality of regions; acquiring compensated grayscales by compensating grayscales of pixel points in the pictures to be displayed in the plurality of regions based on the transformation matrices corresponding to the pixels in the plurality of regions.

Abstract: In an image processing system in which development processing is applied to a RAW image in a server apparatus and results thereof are provided to a client terminal, the capacity of image data that is transmitted to the client terminal is reduced. The client terminal applies low-load development processing to an input RAW image and stores and displays the results image thereof. On the other hand, the server generates a difference image between both results images by applying the low-load and high-load development processing and provides the difference image to the client terminal. Then, based on the difference image, the client terminal reproduces a results image of the high-load development processing.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for dynamic tone mapping of video content. An example embodiment operates by identifying, by a dynamic tone mapping system executing on a media device, characteristics of a first video signal having a first dynamic range based on a frame-by-frame analysis of the first video signal. The example embodiment further operates by modifying, by the dynamic tone mapping system, a tone mapping curve based on the characteristics of the first video signal to generate a modified tone mapping curve. Subsequently, the example embodiment operates by converting, by the dynamic tone mapping system, the first video signal based on the modified tone mapping curve to generate a second video signal having a second dynamic range that is less than the first dynamic range.

Abstract: Disclosed herein is a system and method for augmenting data by generating a plurality of pose-altered images of an item from one or more 2D images of the item and using the augmented data to train a train a feature extractor. In other aspects of the invention, the trained feature extractor is used to enroll features extracted from images of new products in a library database of known products or to identify images of unknown products by matching features of an image of the unknown product with features stored in the library database.

Abstract: A system and method for product photography includes a movable display configured to travel along a path wherein the movable display provides illumination onto a photographic subject visible to at least one camera configured for long exposure photography where the movable display creates one or more digital light paintings at least partially visible to the camera, and a mechanical means for movement of the movable display. The invention employs a method of capturing a photographic image of an object including the steps of selecting an image for the movable display, using at least one camera to capture long exposure images, positioning one or more photographic subjects, positioning one or more cameras, focusing the one or more cameras, beginning capture of a long exposure, using a movable display to create a digital light painting effect, ending capture of the long exposure, and storing the image in memory.

Abstract: An image processing method includes: generating two images by performing two image enhancement processes for a microscopic image; and generating a corrected image obtained by compositing the two images, wherein the generating the two images includes generating a high-frequency enhanced image in which high-frequency components of the microscopic image are enhanced relative to low-frequency components of the microscopic image that have a lower frequency than the high-frequency components, and generating a microstructure enhanced image in which a microstructure in an observation sample included in the microscopic image is enhanced.

Abstract: A method for enhancing digital imagery. The method comprises receiving a linear, intensity-based image of an environment. A histogram of intensity values is generated for a plurality of pixels within the linear, intensity-based image. Based on the histogram of intensity values, local contrast enhancement is applied to the linear, intensity-based image to generate a contrast enhanced version of the linear, intensity-based image, and artificial colorization is applied to the linear, intensity-based image to generate an artificially colorized version of the linear, intensity-based image. A composite image of the environment is then generated based on at least a portion of the contrast enhanced version of the linear, intensity-based image and at least a portion of the artificially colorized version of the linear, intensity-based image.

Abstract: The invention relates to an image capturing device (1) comprising an image sensor (9) making it possible to obtain both an infrared image (31) and an image in the visible range (35) by means of an array of elementary optical filters comprising first optical filters, which are at least partially transmissive in the infrared range, and second optical filters which are at least partially transmissive in the visible range. The image capturing device comprises a calculator (12) which is programmed to control the image sensor to perform two shots, one being exposed according to an ambient brightness in the infrared range for obtaining the first image and the other being exposed as a function of an ambient brightness in the visible range for obtaining the second image. The invention also relates to a system for monitoring a driver (3), comprising such an image capturing device.

Abstract: Multiple images are continuously captured based on a photographing instruction. Multiple processed images without ghosts are obtained based on the multiple images. A fused image is obtained by inputting the multiple processed images without ghosts into an image fusion model. Noise of the fused image is lower than noise of any one of the multiple images, and a resolution of the fused image is higher than a resolution of any one of the multiple images. A target image is obtained and output by performing image enhancement processing on the fused image.

Abstract: The present application discloses a coding pattern, coding and reading methods for the same, a calibration board, and a calibration method. In the present application, the coding pattern comprises four positioning blocks, wherein three of the positioning blocks are located at three corner portions of the coding pattern, and the remaining positioning block only contacts one edge of the coding pattern, thereby forming an asymmetrical distribution configuration of the four positioning blocks. The invention can replace a two-dimensional code standard in the related art, saving the licensing and manufacturing costs of using two-dimensional code generation software in the related art, and is not subject to usage restrictions of the two-dimensional code generation software in the related art.

Abstract: The present disclosure is directed to a computer system designed to (i) receive a series of images as input; (ii) compute a number of metrics derived from focus features and color separation features within the images; and (iii) evaluate the metrics to return (a) an identification of the most suitable z-layer in a z-stack, given a series of z-layer images in a z-stack; and/or (b) an identification of those image tiles that are more suitable for cellular based scoring by a medical professional, given a series of image tiles from an area of interest of a whole slide scan.

Abstract: Disclosed and described herein are systems and methods of performing computer-aided detection (CAD)/diagnosis (CADx) in medical images and comparing the results of the comparison. Such detection can be used for treatment plans and verification of claims produced by healthcare providers, for the purpose of identifying discrepancies between the two. In particular, embodiments disclosed herein are applied to identifying dental caries (“caries”) in radiographs and comparing them against progress notes, treatment plans, and insurance claims.

Abstract: The invention provides an ambient light sensing device which receives at least one visible light image sensed by an image sensor. The ambient light sensing device includes an image sampling unit and an analyzing unit. The image sampling unit divides the visible light image into plural image blocks, extracts at least one sample data in each image block, and generates a comparison data according to a difference between the sample data extracted at different time points. The analyzing unit analyzes the comparison data and generates an output analysis signal accordingly.

Abstract: An information processing apparatus connected to an image forming unit and a reading unit is provided. The apparatus generates image data based on document data described in a page description language, encodes the document data to be multiplexed on the image data, outputs the image data to the image forming unit, restores the multiplexed document data from the image data read by the reading unit, and saves the image data read by the reading unit and the document data restored by a restoration unit.

Abstract: According to one embodiment, an image processing device capable of removing a horizontal streak that may show when a document is scanned and made into a file is provided. An image processing device according to one embodiment includes: an image processing unit configured to generate smoothing image data obtained by applying smoothing to image data, and save, as an image file, non-smoothing image data in which smoothing is not applied to the image data when a difference between the non-smoothing image data and the smoothing image data is equal to or greater than a threshold value, and the smoothing image data when the difference is smaller than the threshold value; and a storage unit configured to save the image file.

Abstract: A method for enhancing an image and an image enhancement device are described. The method for enhancing an image including: capturing an initial image including a plurality of pixels, and performing a pixel-by-pixel dehazing operation for each of the plurality of pixels. The performing including: generating, for each of the plurality of pixels, a value for a blended gray image based on color channels of the pixel, generating, for each of the plurality of pixels, a value for a transmission map based on the blended gray image, and generating, for each of the plurality of pixels, output color channels for a processed image based on the value for the transmission map, the processed image being an enhancement of the initial image.

Abstract: According to an embodiment, a contrast and deep black can be enhanced by differentially performing spatial filtering according to a position of a block of a video image.

Abstract: Apparatus and methods related to applying lighting models to images of objects are provided. A neural network can be trained to apply a lighting model to an input image. The training of the neural network can utilize confidence learning that is based on light predictions and prediction confidence values associated with lighting of the input image. A computing device can receive an input image of an object and data about a particular lighting model to be applied to the input image. The computing device can determine an output image of the object by using the trained neural network to apply the particular lighting model to the input image of the object.

Abstract: Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to navigating sets of multi-modality medical data in a multi-modality processing system. In one embodiment, a method for navigating medical data in a medical processing system includes receiving a reference set of medical data by the medical processing system, where the medical data corresponds to a modality selected from the group consisting of: FFR, iFR, pressure, flow, IVUS, and OCT. The medical processing system also receives a navigation command. An enhancement and a subset of the reference set of medical data to enhance are identified based on the navigation command. The medical processing system performs the selected enhancement on the subset of data and the enhanced subset is displayed. The enhancement may include performing a single-axis zoom on the subset.

Abstract: Provided is a medical image processing system that can stably control the light emission amount of narrow-band light of a short wavelength in a case where the narrow-band light of the short wavelength is used for illumination of an observation target. A light source circuit emits specific narrow-band light of a short wavelength. An image sensor includes a first pixel group including a B pixel and a second pixel group including a G pixel. The B pixel has a higher sensitivity to the specific narrow-band light than the G pixel. The G pixel has a sensitivity to light in a green band and the specific narrow-band light. The light source control unit controls the light emission amount of the specific narrow-band light on the basis of a pixel value of the B pixel and a pixel value of the G pixel.

Abstract: The present disclosure relates to a surface inspection method using a mold surface inspection device, and more specifically, to a surface inspection method using a mold surface inspection device including a setting part in which an inspection object is set, a light source part configured to irradiate the inspection object with irradiated light so that a reflective highlight is generated on a surface of the inspection object, an imaging part configured to image the surface of the inspection object so that a highlight region where a reflective highlight is generated is included, and an image processing part configured to process an image imaged in the imaging part to provide the image to a worker so that the worker determines whether defects are generated on the surface of the inspection object on the basis of the image.

Abstract: A method is provided for enhancing video images in a medical device. The method includes receiving a first image frame and a second image frame from an image sensor. First image sub-blocks are generated by dividing the first image frame. Second image sub-blocks are generated by dividing the second image frame based on the first image sub-blocks. Histogram data of the first image sub-blocks is generated. Histogram data of the second image sub-blocks is generated based on the histogram data of the first image sub-blocks. A histogram enhanced image frame is generated based on the histogram data of the second image sub-blocks. A video image stream is generated based on the histogram enhanced image frame.

Abstract: The disclosure provides an image processing device. An image processing device includes a neural network circuit, a gain control circuit, and an image merge circuit. The neural network circuit is configured to receive an input image, and perform an image processing operation on the input image according to fixed parameters to output a first intermediate image. The gain control circuit, coupled to the neural network circuit, is configured to receive the first intermediate image from the neural network circuit, and multiply the first intermediate image by at least one amplitude gain to output a second intermediate image. The image merge circuit, coupled to the gain control circuit, configured to receive the second intermediate image and the input image, and combine the second intermediate image and the input image to obtain an output image. In addition, a method for image enhancement is also provided.

Abstract: A content-based image retrieval (CBIR) system and method is presented herein. The CBIR system generates a relatively short vector or array of data, referred to as a barcode, from an input image. The short vector or array data can be used to represent the content of the image for image retrieval purposes. The system obtains the image and applies a transform to the image to generate a plurality of image transform values. The system thresholds the plurality of image transform values to obtain compact image transform values. The system generates a barcode in accordance with the compact image transform values and representative of the image. The system may then transmit the barcode to a database for storage or draw the barcode on a display. The system may also compare barcodes to find and retrieve similar images associated with similar barcodes.

Abstract: An information processing device includes a processor configured to change a control of a light source to illuminate a user according to an appearance of the user in an online conference.

Abstract: An information processing apparatus connected to an image forming unit that forms an image based on image data and a reading unit that reads an image as image data is provided. The apparatus acquires a pixel count of image data formed by pixels; encodes the at least one color component and the pixel count to be multiplexed on the image data; outputs the image data to the image forming unit; restores the multiplexed at least one color component and the multiplexed pixel count from the image data read by the reading unit; and replaces the pixels of the pixel count of a color component corresponding to the at least one color component included in the image data and restored from the image data.

Abstract: Dual cameras that simultaneously capture RGB and IR images of a scene can be used to remove glare from the RGB image, transformed to a YUV image, by substituting a glare region in the luminance component of the YUV image with the pixel values in a corresponding region of the IR image. Further, color information in the glare region may be adjusted by averaging over or extrapolating from the color information in the surrounding region.

Abstract: An image processing apparatus comprises a first acquisition unit configured to acquire, based on a luminance distribution in an input image, first control information for controlling characteristics of luminance gradation correction to be applied on the input image, a second acquisition unit configured to acquire, based on the first control information, second control information for controlling characteristics of luminance gradation correction to be applied on the input image, and a correction unit configured to correct luminance gradation of the input image based on the second control information.

Abstract: A method of image processing converts images of different brightness to a common brightness range, the images representing at least partly the same scene. One of images including a local block with movement is selected for forming a composed image from the images. One or more corresponding blocks corresponding to the local block are determined in the images. Each of said one or more corresponding blocks is weighted with at least one of the following: similarity with respect to the local block, a distance from a location of the local block, saturation of the one or more corresponding blocks, and noise of the one or more corresponding blocks. The local block and at least one of the one or more corresponding blocks are combined, or the local block is replaced by at least one of the one or more corresponding blocks based on the weighting for forming the composed image from the images.

Abstract: An image processing apparatus comprises a receiver (201) for receiving an image signal which comprises at least an encoded image and a target display reference. The target display reference is indicative of a dynamic range of a target display for which the encoded image is encoded. A dynamic range processor (203) generates an output image by applying a dynamic range transform to the encoded image in response to the target display reference. An output (205) then outputs an output image signal comprising the output image, e.g. to a suitable display. The dynamic range transform may furthermore be performed in response to a display dynamic range indication received from a display. The invention may be used to generate an improved High Dynamic Range (HDR) image from e.g. a Low Dynamic Range (LDR) image, or vice versa.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to enable medical image visualization and interaction in a virtual environment. An example apparatus includes at least one processor and at least one memory including instructions. The instructions, when executed, cause the at least one processor to at least: generate a virtual environment for display of image content via a virtual reality display device; enable interaction with the image content in the virtual environment via an avatar; adjust the image content in the virtual environment based on the interaction; and generate an output of image content from the virtual environment.

Abstract: Provided herein are a calibration method for a fingerprint sensor and a display device using the calibration method, where, in the calibration method for a fingerprint sensor, the fingerprint sensor includes a substrate, a light-blocking layer located on a first surface of the substrate and having openings formed in a light-blocking mask, a light-emitting element layer located on the light-blocking layer and having a plurality of light-emitting elements, and a sensor layer located on a second surface of the substrate and having a plurality of photosensors; and the calibration method includes generating calibration data through white calibration and dark calibration, and applying offsets to the plurality of photosensors using the calibration data.

Abstract: An image processing apparatus includes a processor configured to extract a component related to luminance of each of a sample image and a processing target image that is to undergo image processing to match an impression of the processing target image to the sample image, extract feature values of the processing target image and the sample image by attaching to a pixel value of each pixel forming the processing target image and the sample image a weight responsive to the component related to the luminance, and make adjustment to match the feature value of the processing target image to the feature value of the sample image.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for automatically, accurately, and efficiently correcting eye region artifacts including dark eye regions and wrinkles within a digital image portraying a human face. In particular, in one or more embodiments the disclosed systems localize areas within a digital image to identify eye region artifacts including dark eye regions and wrinkles. In one or more embodiments, the disclosed systems generate a corrected color image by correcting dark eye regions in a low frequency layer of the digital image by replacing the dark eye regions with candidate eye regions. Furthermore, in one or more embodiments the disclosed systems generate a corrected texture image by correcting wrinkles in a high frequency layer by processing the digital image utilizing a smoothing algorithm. The disclosed systems further generate a corrected digital image by combining the corrected color image and the corrected texture image.

Abstract: A neural network architecture is used that reduces the processing load of implementing the neural network. This network architecture may thus be used for reduced-bit processing devices. The architecture may limit the number of bits used for processing and reduce processing to prevent data overflow at individual calculations of the neural network. To implement this architecture, the number of bits used to represent inputs at levels of the network and the related filter masks may also be modified to ensure the number of bits of the output does not overflow the resulting capacity of the reduced-bit processor. To additionally reduce the load for such a network, the network may implement a “starconv” structure that permits the incorporation of nearby nodes in a layer to balance processing requirements and permit the network to learn from context of other nodes.

Abstract: Image analysis and processing may include a multiple-tone-control (MTC) unit configured to obtain a tone-control gain lookup table, a plurality of MTC gain lookup tables, wherein the input image is divided into a plurality of blocks and wherein the plurality of MTC gain lookup tables includes a respective MTC gain lookup table corresponding to each respective block from the plurality of blocks, MTC grid parameters, MTC weighting parameters, a tone-control gain based on the tone-control gain lookup table, a MTC gain based on at least one MTC gain lookup table from the plurality of MTC gain lookup tables, the MTC grid parameters, and the MTC weighting parameters, and an output value based on the tone-control gain and the MTC gain.

Abstract: Disclosed is a detection target positioning method and device. The method comprises: acquiring an original image and pre-processing the original image to obtain a gradation of each pixel in a target gradation image corresponding to a target region including a detection target; calculating first gradation sets corresponding to rows of pixels of the target gradation image and second gradation sets corresponding to columns of pixels of the target gradation image; and determining rows of two ends of the detection target in a column direction according to the first gradation sets, determining columns of two ends of the detection target in a row direction according to the second gradation sets, and determining a center of the detection target according to the row of two ends of the detection target in the column direction and the columns of two ends of the detection target in the row direction.

Abstract: An electronic device comprises a first camera capable of photographing a designated direction, a second camera capable of photographing a direction different from the designated direction, a memory, and a processor, wherein the processor can be configured to acquire first images by using the first camera and second images by using the second camera, confirm at least one reflective object having a reflective attribute related to the light reflection in the first images, and synthesize, on the basis of the reflective attribute, at least a part of the second images with at least a part of an area corresponding to the at least one reflective object.

Abstract: A method includes determining a first brightness level of a first video frame and a second brightness level of a second video frame, the second video frame immediately following the first video frame. In response to determining that the second brightness level differs from the first brightness level by at least a predetermined amount, the method includes modifying the brightness of the second video frame and a predetermined number of successive frames to provide successive fractional increments of brightness between the first brightness level and the second brightness level.

Abstract: An image processing apparatus includes a memory configured to store first region detection information of a first frame; and a processor. The processor is configured to: identify a first pixel region corresponding to the first region detection information from a second frame, perform region growing processing on the first pixel region based on an adjacent pixel region that is adjacent to the first pixel region, obtain second region detection information of the second frame, based on the region growing processing, and perform image processing on the second frame based on the second region detection information.

Abstract: An image processing apparatus includes a linear matrix operation unit configured to set a matrix coefficient in accordance with an input image signal, and perform a linear matrix operation on the image signal using the set matrix coefficient.

Abstract: A processor obtains an input image containing both bright and dark regions. The processor obtains a threshold between a first pixel value and a second pixel value of the display. Upon detecting a region of the input image having an original pixel value above the threshold, the processor can create a data structure including a location of the region in the input image and an original pixel value of the region. The data structure occupies less memory than the input image. The display presents the input image including the region of the image having the original pixel value above the threshold. The processor sends the data structure to a camera, which records the presented image. The processor performing postprocessing obtains the data structure and the recorded image and increases dynamic range of the recorded image by modifying the recorded image based on the data structure.

Abstract: A method for capturing images, a terminal, and a computer-readable storage medium are provided, relating to the technical filed of electronics. The method includes the following. A preview image is acquired through a capturing component of a terminal and an exposure parameter value corresponding to the preview image is acquired. An image capturing parameter value in a current high dynamic range (HDR) scene is forecasted according to the preview image, the exposure parameter value, and an image capturing parameter related pre-trained forecasting model with an image data parameter, an exposure parameter, and an image capturing parameter as variables, where the image capturing parameter includes the number of images for synthesis. An image is captured according to the image capturing parameter value forecasted, upon receiving a capturing instruction.

Abstract: A preferred method for dynamically displaying virtual and augmented reality scenes can include determining input parameters, calculating virtual photometric parameters, and rendering a VAR scene with a set of simulated photometric parameters.

Abstract: Multi-color flash with image post-processing that uses a camera device with a multi-color flash and implements post-processing to generate images is described. In one aspect, the multi-color flash with image post-processing may be implemented by a controller configured to control a camera and flashes of at least two different colors. The controller may be configured to cause the camera to acquire a first image of a scene while the scene is being illuminated with the first flash but not the second flash, then cause the camera to acquire a second image of the scene while the scene is being illuminated with the second flash but not the first flash, and generate a final image of the scene in post-processing based on a combination of the first image and the second image.

Abstract: A method relating to an image fusion includes acquiring a thermal infrared image and a visible image. The method also includes receiving a fusion parameter corresponding to a color space and generating, based on the fusion parameter, a fused image of the thermal infrared image and the visible image. The method further includes receiving a regulation parameter, the regulation parameter including a color scheme or a partial contrast, and adjusting the fused image according to the regulation parameter.

Abstract: Provided herein are a calibration method for a fingerprint sensor and a display device using the calibration method, where, in the calibration method for a fingerprint sensor, the fingerprint sensor includes a substrate, a light-blocking layer located on a first surface of the substrate and having openings formed in a light-blocking mask, a light-emitting element layer located on the light-blocking layer and having a plurality of light-emitting elements, and a sensor layer located on a second surface of the substrate and having a plurality of photosensors; and the calibration method includes generating calibration data through white calibration and dark calibration, and applying offsets to the plurality of photosensors using the calibration data.

Abstract: The invention relates to a method of reconstructing a fingerprint image from a plurality of fingerprint subimages captured by an optical microlens array fingerprint sensor, and a sensor system performing the method. In an aspect, a method of reconstructing a fingerprint image from a plurality of fingerprint subimages captured by an optical microlens array fingerprint sensor arranged under a touch-display of a device is provided.