101results about "Color signal processing circuits" patented technology

An image capturing apparatus for capturing an object and generate an image, displaying the image, performing signal processing for the image, and accepting an input from a user, wherein the image is displayed with a vectorscope superimposed thereon, the vectorscope indicating a distribution of color components included in the image based on a hue and a color density and an index for specifying a range of a skin color region in the image, a display position of the index on the vectorscope is specified based on the hue and the color density values, and a size of the index is specified by the range of the skin color region value, and processing is performed for decreasing a detail level of an image signal of the image having a color component included in the index.

This invention discloses a differential VGA signal decoding and display device, relating to the display field. It includes a signal input module, an ESD protection module, a differential receiving module, a synchronization separation module, an image decoding driver module, a display module, an audio processing module, and a control module. These modules are interconnected and work together to decode, process, and display differential VGA signals. This differential VGA signal decoding and display device solves the problems of short transmission distance, weak anti-interference capability, limited resolution, and high power consumption associated with traditional VGA interfaces. It also achieves full compatibility with traditional VGA devices, integrating audio processing, local playback, intelligent signal enhancement, and remote monitoring and management functions. It achieves reliable conversion from analog to differential signals, supports high-definition display, and has a transmission distance of up to 50 meters, while maintaining full compatibility with traditional VGA devices. This technology is particularly suitable for professional fields such as industrial automation and medical imaging, meeting the diverse display and intelligent operation and maintenance needs of professional scenarios.

A color correction method for filter-less pixels is disclosed. In one embodiment, an image sensor, having a pixel array, includes a plurality of filter-less pixels. Each pixel of the plurality of filter-less pixels includes a blue light region, a green light region, and a red light region. Incoming light successively passes through the blue, green and red light regions, and a readout circuitry, configured to receive color signal outputs comprising blue region signals from the blue light region, green region signals from the green light region, .red region signals the red light region, and correct color signal outputs with a correction algorithm, including a blue light correction algorithm, a red light correction algorithm, and a green light correction algorithm, The method is configured to output corrected color signals provided by the correction algorithm.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

Embodiments of the present invention provide a system for employing adaptive pixel selector techniques for calculating color contrast ratio with dead pixel mitigation. The system is configured for determining that a user is testing user interface accessibility compliance of at least one user interface associated with one or more applications, determining one or more rules associated with the user interface accessibility compliance of the one or more applications, selecting a pixel from the at least one user interface, determining that the pixel is not a defective pixel, calculating a color contrast ratio associated with the pixel, determining if the color contrast ratio is in compliance with the one or more rules, and displaying an output associated with determining if the color contrast ratio is in compliance with the one or more rules.

A video coding method and apparatus adaptively determine spatial resolution for a horizontal component and a vertical component of a motion vector or block vector indicating a position of a reference block when performing inter prediction or intra block copy (IBC) of a current block. The video coding method and apparatus separately determine each spatial resolution for a plurality of motion vectors.

An image processing method is provided. In the method, a target video frame set is acquired from video data of a plurality of video frames. The target video frame set includes a subset of the video frames that is selected based on characteristics of the subset of the video frames. A global color feature of a reference video frame is acquired. An image semantic feature of the reference video frame is acquired. An enhancement parameter of the reference video frame is acquired for each of at least one image information dimension according to the global color feature and the image semantic feature. Image enhancement is separately performed on the video frames in the target video frame set according to each enhancement parameter of the reference video frame to obtain target image data for each of the video frames in the target video frame set.

Apparatus and methods for colour grading may be implemented to improve the efficiency of colour grading digital content. Features of the apparatus and methods include: automatic detection of differences between image data and rendered images, automatic suggestions for colour grading, detection and communication of temporal effects, guidance for selecting an order of frames for grading, automated QC processes, and / or reference monitor emulation.

This invention proposes an image processing method and a display device using this method. The method includes: converting an original image to a first color space to generate a reference image corresponding to the first color space; detecting image regions with high-frequency signals in the reference image to generate a detection result; performing an operation on the detection result according to a preset gain value to generate a first operation result; evaluating the detection result and the first operation result, and selecting a reference gain value; performing an operation on the detection result according to the reference gain value to generate a second operation result; selecting at least one of the brightness values ​​of a first pixel in a first fused image and a second pixel in a second fused image according to the first operation result and the second operation result to generate the brightness values ​​of pixels in a third fused image; and converting the third fused image to a second color space to generate an output image corresponding to the second color space. The display device of this invention makes the displayed image clearer and suppresses the white-edge effect.

An image processing apparatus that functions as a first obtaining unit to obtain a first lookup table (LUT) for a predetermined format conversion and to apply an effect of a desired color conversion, a second obtaining unit to obtain a second LUT for applying an effect of the predetermined format conversion, of an effect of the first LUT, a setting unit to set an influence of an LUT to be applied to a first image for processing, a combining unit to combine the first LUT and the second LUT on a basis of the influence to generate a third LUT, and a processing unit to perform color conversion on the first image using the third LUT. The predetermined format conversion includes a first partial format conversion and a second partial format conversion, and the combining unit generates a fourth LUT without the second partial format conversion from the first LUT.

In a method to improve backwards compatibility when decoding high-dynamic range images coded in a wide color gamut (WCG) space which may not be compatible with legacy color spaces, hue and / or saturation values of images in an image database are computed for both a legacy color space (say, YCbCr-gamma) and a preferred WCG color space (say, IPT-PQ). Based on a cost function, a reshaped color space is computed so that the distance between the hue values in the legacy color space and rotated hue values in the preferred color space is minimized. HDR images are coded in the reshaped color space. Legacy devices can still decode standard dynamic range images assuming they are coded in the legacy color space, while updated devices can use color reshaping information to decode HDR images in the preferred color space at full dynamic range.

The present specification provides a training method of an artificial neural network model for correcting image color and an image correction method using a trained artificial neural network model. The training method of the artificial neural network model according to the present specification uses, as training data, a pair of images before and after color correction. In the training method, the image before color correction is input into the artificial neural network model, N parameter values (N is a natural number) are obtained from the artificial neural network model, and at least one color correction program is executed according to the obtained parameter values, whereby a converted image, the color of which has been converted from the image before color correction contained in the training data, may be obtained. In addition, the artificial neural network model may be trained such that a difference value between the image after color correction contained in the training data and the converted image is reduced.

A video display device includes performs a first Retinex process on an inputted video and a second Retinex process, which is different from the first Retinex process, on the inputted video. A video composing unit is configured to compose a video processed by the first Retinex processing unit and a video processed by the second Retinex processing unit in accordance with a feature of the inputted video, which is then displayed. In a process of composing the video processed by the first and second Retinex processing units, the video composing unit is configured to perform a process of converting a luminance level for each pixel so that more output luminance levels are assigned to a luminance band having a large frequency distribution to improve visibility of the video. A gain of the luminance level converting process is varied in accordance with an average pixel value level of the inputted video.

The application discloses an image processing system for display quality adjustment, acquires image information to be processed; determines first data matching information based on the image information to be processed; and processes the image information to be processed based on the first data matching information to obtain first target image information.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

An electronic device according to an embodiment of the present disclosure comprises a memory for storing one or more instructions, a communication interface, a display, and at least one processor, wherein the instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: divide a first image received through the communication interface, so as to obtain a plurality of sub-images; perform gamut mapping for mapping first partial image data corresponding to the plurality of sub-images to a second gamut different from a first gamut corresponding to the first image, so as to obtain second image data having a size smaller than the total data size of the first partial image data; and control the display to display a second image corresponding to the first image on the basis of the second image data.

An information processing device includes a color conversion unit that performs color conversion on video data of a display video displayed on a display and to be imaged by using table information reflecting an inverse characteristic of a characteristic of the display.

The present invention provides an image processing apparatus, an imaging apparatus, an image processing method, and a program that can obtain an image in which the influence of the first AI processing is less noticeable than that of the first image obtained by performing the first AI processing on the image to be processed. [Solution] The image processing device includes a processor. The processor obtains a first image obtained by performing a first AI processing on the image to be processed, and a second image obtained without performing the first AI processing on the image to be processed, and adjusts for any excess or deficiency of the first AI processing by combining the first image and the second image.

The application discloses a picture motion compensation method and system in multi-screen combination and a storage medium, and relates to the field of picture display. The method comprises the following steps: acquiring first picture information and second picture information of different screen blocks respectively; determining distance direction offset and direction offset of picture pixel values of the first picture information and the second picture information based on a cross-correlation algorithm; correcting the distance direction offset and the direction offset until absolute values of the distance direction offset and the direction offset are within a preset threshold; calculating picture display frequencies of the first picture information and the second picture information, adjusting time of a target splicing boundary of the first picture information and the second picture information based on the picture display frequencies; and multiplying a correction result of the distance direction offset and the direction offset and a time adjustment result of the target splicing boundary to obtain an offset compensation amount, and realizing picture motion compensation in multi-screen combination by using the offset compensation amount. The application better solves the problem of misalignment at a screen splicing position.

The application discloses a model prediction-based white balance correction method and device, equipment and medium, and belongs to the technical field of display equipment. The method comprises the following steps: acquiring color information and initial gain information of a display equipment; inputting the color information and the initial gain information into a pre-trained correction prediction model; determining target gain information according to an output result of the correction prediction model; and performing white balance correction of the display equipment based on the target gain information. According to the technical scheme, the color information and the initial gain information are input into the pre-trained correction prediction model, the correction prediction model outputs the target gain information, the target gain information can be quickly and accurately predicted, the original tedious step-by-step color information adjustment is avoided, and the correction efficiency of the white balance is effectively improved.

Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.

The invention relates to a method for image processing, in particular for debayering, comprising at least the following steps: Providing raw data (S1) output by a Bayer sensor (1) with a matrix of pixels (Pij) and containing individual pixel values ​​(PWij), Color interpolation from the raw data (S1) in a chroma interpolator (8) and determination of a chroma signal (CbCr-ij), Luminance interpolation from the raw data (S1) in a luminance interpolator (9) and determination of a first luma signal (Y1ij) containing individual luminance values ​​(Y1ij), Detection of artifacts in an artifact detector (10) and determination of a control signal (CTR1-ij), Controllable low-pass filtering of the first luminance signal (Y1ij) with the control signal (CTR1), adapting the low-pass filtering of the individual luminance values ​​(Yij) depending on the control signal (CTR1), and determination of a second luminance signal (Y2ij), Receiving the chroma signal (CbCr-ij) and the second luminance signal (Y2ij) in a conversion matrix (14) and determining image values ​​(F-Rij, F-Gij, F-Bij) to the pixel values ​​(Pij).

An information processing device (100) of the present disclosure includes a control unit (130). The control unit (130) calculates a correction coefficient based on a first image obtained when a display image displayed on a display device (200) is captured by an imaging device (300B) and a second image obtained when the display image is captured by imaging device (300B) in an imaging environment. The correction coefficient is used to display a re-photographing image after correction on the display device (200) when the re-photographing image displayed on the display device (200) disposed in the imaging environment is captured by the imaging device (300B).

This disclosure relates to a method, apparatus, storage medium, and electronic device for correcting the white balance of an image. [Solution] The first quantum efficiency response curve of a reference image sensor is determined, the second quantum efficiency response curve of a target image sensor whose color filter array differs from that of the reference image sensor is determined, the target matrix used for converting between the second quantum efficiency response curve and the first quantum efficiency response curve is determined, the first white balance plank curve of the target image sensor is determined, white balance correction parameters suitable for the target image sensor are determined based on the target matrix, the first white balance plank curve and the first image captured by the target image sensor, and white balance correction processing is performed on the second image captured by the target image sensor according to the white balance correction parameters.

A method of generating a color mapping table for correcting color of a display panel, including: establishing a sampling point space, according to first color coordinates of a plurality of sampling points in a first color space; and performing steps of a preset processing on each of the plurality of sampling points, to obtain target color coordinates of the sampling point in the first color space, and generating the color mapping table according to the first color coordinates and the target color coordinates of the plurality of sampling points, where the steps of the preset processing on each of the plurality of sampling point include: taking the sampling point as a source sampling point, and determining a target sampling point corresponding to the source sampling point; and processing the target sampling point, to obtain the target color coordinates.

An image processing device according to an embodiment of the present disclosure may comprise at least one processor configured to: convert a first image data of a first color space to a second image data of a second color space through a gamut mapping, obtain a luminance level of the second image data, obtain a saturation correction value corresponding to the obtained luminance level, and adjust a saturation of the second image data based on the obtained saturation correction value while maintaining the obtained luminance level.

This disclosure relates to an image adjustment method, apparatus, chip, display device, and electronic device. The image adjustment method includes: acquiring an image to be processed; determining a first dynamic contrast ratio corresponding to each gray level among a plurality of gray levels in the image to be processed; determining a second dynamic contrast ratio corresponding to each gray level among the plurality of gray levels based on the first dynamic contrast ratio; and adjusting the image to be processed based on the second dynamic contrast ratio corresponding to the plurality of gray levels. The image adjustment method provided by the embodiments of this disclosure not only supports the function of enhancing dynamic contrast ratio in related technologies but also supports the function of reducing dynamic contrast ratio, which is beneficial to improving the applicability of display devices.

This invention discloses a super-resolution method and system for reconstructing high-quality 4K video using low-quality descriptions, relating to the field of video image processing technology. The method includes: acquiring consecutive frames of the video to be processed and constructing a temporal frame set; extracting compression block features, ringing features, and noise features from the target frames and generating a spatial degradation map; identifying continuous degradation regions based on the spatial degradation map and generating a spatial weight map; inputting the temporal frame set into a spatiotemporal reconstruction network for structural reconstruction to obtain a basic reconstructed image and generating a high-frequency residual image; spatially weighting the high-frequency residual image based on the spatial weight map, calculating the global degradation index of the target frame based on the spatial degradation map to determine a temporal consistency threshold, constraining the residual changes between adjacent frames, and synthesizing the high-frequency residual image with the basic reconstructed image to obtain a 4K super-resolution video frame. This method suppresses compression artifacts and reduces inter-frame flicker while completing 4K video super-resolution reconstruction.

A method comprising emulating (401) an implementation of a post-processing process of an SL-HDRx system before applying a pre-processing process of the SL- HDRx system using input color components of a current sample of a current picture up to a computation of at least one intermediate chroma component; determining (402, 404) that a value of the at least one intermediate chroma component is higher than a maximum chroma component value depending on a calculation precision set in the implementation of the post-processing process; applying (403, 405) a correction process on the input color components to obtain corrected color components for the current sample respecting at least a clipping prevention condition responsive to the value of the at least one intermediate chroma component is higher than the maximum chroma component value.