Abstract: The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. The rules are based on meta data of the examination as well as image content that is being analyzed by neuronal networks. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.

Abstract: A skin detection and evaluation method includes: obtaining a face image of a user; detecting a skin problem that appears in the face image; prompting in a first interface, the user that the skin problem appears on a face, wherein the first interface comprises the face image; and displaying a second interface in response to a first operation performed by the user in the first interface, wherein the second interface comprises a first facial simulated image obtained after the skin problem is aged; or displaying a third interface in response to a second operation performed by the user in the first interface, wherein the third interface comprises a second facial simulated image obtained after the skin problem is de-aged.

Abstract: An embodiment of the present disclosure provides a method for processing an image. The method comprise: determining weights corresponding to candidate colors for a target color based on an original color of a pixel in the image; selecting a target color of the pixel from the candidate colors based on the weights; and converting the original color of the pixel into the target color to obtain a target image. According to the embodiment of the present disclosure, by determining the weights of the candidate colors, the image can be converted into the target image comprising only the candidate colors, thereby using a limited number of candidate colors to represent the target image.

Abstract: An image processing device includes: an information acquisition unit configured to acquire outside information including color information of outside of a vehicle; an image generation unit configured to generate, based on the outside information, a first image in which a difference in the color information with respect to the outside of the vehicle is within a predetermined range; and an output unit configured to output the first image to a display provided in a cabin of the vehicle.

Abstract: An Optical See-Through viewing device (100) comprising a controller (101) configured to control a display arrangement (110) comprising an image capturing device (112), wherein the controller (101) is further configured to: a) display virtual content (DVC, 115) overlapping at least one real-life object (RLO) viewable by a user's eye (E) through the Optical See-Through viewing device (100); b) capture a composite view of displayed virtual content (DVC, 115) overlapping real life object (RLO); c) determine captured virtual content (CVC) based on composite view; d) determine a difference (D) between captured virtual content (CVC) and the displayed virtual content (DVC, 115); e) determine modified virtual content (MDVC) based on the difference (D); and f) display the modified virtual content (MDVC).

Abstract: An output parameter adjustment method employing an ambient light distribution field including: acquiring an environmental image of a background environment in a viewing angle range of a user; dividing the environmental image according to preset partitioning to obtain environmental sub-images; obtaining the illumination value of each environmental sub-image; splicing the illumination of all of environmental sub-images to obtain distributed illumination distribution information corresponding to the environmental image; obtaining a first illumination model corresponding to the illumination distribution information; querying a model-parameter list, to obtain a first adjustment parameter corresponding to the first illumination model; and adjusting, display parameters of a display screen of a user terminal and/or adjusting light compensation output parameters of a lighting compensation device according to the first adjustment parameter so that the display parameter of the display screen match an illumination state

Abstract: In an embodiment, a method involves accessing a first pixel block of an image, the first pixel block comprising pixels, each associated with multiple pixel components, determining whether to separately or jointly encode the multiple pixel components of each of the pixels of the first pixel block, determining that the multiple pixel components of each of the pixels in the first pixel block are to be jointly encoded based on (1) determining, based on the multiple pixel components of each of the pixels, a line defined within a three-dimensional coordinate system in which each of the pixels is represented as a three-dimensional point and (2) determining that the line satisfies a predetermined criteria, and encoding the multiple pixel components of each of the pixels in the first pixel block as a single quantized value based on a projection of the three-dimensional point associated with that pixel onto the line.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU. The apparatus may perform a color analysis on at least one first frame of a plurality of frames, the color analysis being performed based on at least one image in the at least one first frame. The apparatus may also generate a frequency map for at least one second frame of the plurality of frames based on the performed color analysis. Further, the apparatus may render the at least one second frame based on the frequency map for the at least one second frame, the at least one second frame being rendered after the at least one first frame.

Abstract: In accordance with some embodiments, systems, methods and media for high dynamic range quanta burst imaging are provided. In some embodiments, the system comprises: an image sensor comprising single photon detectors in an array; a processor programmed to: generate a sequence of binary images representing a scene; divide the sequence of binary images into blocks; generate block-sum images from the blocks; determine alignments between the block-sum images and a reference block-sum image; warp the sequence of binary images based on the alignments; generate warped block-sum images using warped binary images; merge the warped block-sum images; display a final image of the scene based on the merged warped block-sum images.

Abstract: Anisotropic texture filtering applies a texture at a sampling point in screen space. Calculated texture-filter parameters configure a filter to perform filtering of the texture for the sampling point. The texture for the sampling point is filtered using a filtering kernel having a footprint in texture space determined by the texture-filter parameters. Texture-filter parameters are calculated by generating a first and a second pair of screen-space basis vectors being rotated relative to each other. First and second pairs of texture-space basis vectors are calculated that correspond to the first and second pairs of screen-space basis vectors transformed to texture space under a local approximation of a mapping between screen space and texture space. An angular displacement is determined between a selected pair of the first and second pairs of screen-space basis vectors and screen-space principal axes of a local approximation of the mapping that indicate the maximum and minimum scale factors of the mapping.

Abstract: In an example display system, a range of colors around a region may be identified and compared to a color of the region with respect to a perception threshold. In that example, a modification of the color within the region may be determined based on the range of colors around the region and a display may be caused to present the region in a modified color based on the range of colors around the region with respect to the perception threshold.

Abstract: Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Abstract: The invention provides, in some aspects, a system for implementing a rule derived basis to display image sets. In various embodiments of the invention, the selection of the images to be displayed, the layout of the images, as well as the rendering parameters and styles can be determined using a rule derived basis. In an embodiment of the present invention, the user is presented with images displayed based on their preferences without having to first manually adjust parameters.

Abstract: Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

Abstract: Embodiments are disclosed for reconstructing freeform gradients from an input image. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input image, computing an outline of the input image, identifying a set of candidate color handles for the input image, each candidate color handle of the set of candidate color handles representing an extremum point for a color in the input image, generating a reconstructed image using a subset of the set of candidate color handles, determining a reconstruction error by computing a difference between the input image and the reconstructed image, and providing the reconstructed image when the reconstruction error is below a threshold value.

Abstract: Disclosed are systems, methods, and computer-readable storage media to perform an interactive image recolorization process. The method includes receiving user input including a stroke drawn on an image presented on a client device. The stroke comprises a user-specified color. The method further includes determining a region of interest in the image. The method further includes recolorizing the region of interest on the image based on the user-specified color and causing presentation of a result of the recolorization on the client device.

Abstract: The present disclosure relates to using end-to-end differentiable pipeline for optimizing parameters of a base procedural material to generate a procedural material corresponding to a target physical material. For example, the disclosed systems can receive a digital image of a target physical material. In response, the disclosed systems can retrieve a differentiable procedural material for use as a base procedural material in response. The disclosed systems can compare a digital image of the base procedural material with the digital image of the target physical material using a loss function, such as a style loss function that compares visual appearance. Based on the determined loss, the disclosed systems can modify the parameters of the base procedural material to determine procedural material parameters for the target physical material. The disclosed systems can generate a procedural material corresponding to the base procedural material using the determined procedural material parameters.

Abstract: An electronic device includes an electronic display configured to present an image based on image data and a display pipeline having image processing circuitry to process the image data for display on the electronic display by receiving the image data, referencing a lookup table (LUT) to determine output values based on a plurality of input value sets associated with the image data, the LUT including entries respectively mapping an output value to a defined input value set, determining whether an input value set of the plurality of input value sets is represented by the entries of the LUT, performing curvature interpolation to determine an interpolated output value associated with the input value set in response to determining the input value set of the image data is not represented by the entries of the LUT, and applying the interpolated output value to the input value set to generate updated image data.

Abstract: The disclosure relates to a color gamut mapping device that allows a gamma characteristic for each color to be tuned to match a target gamma curve through color gamut mapping, a tuning method thereof, and an image processor including the same. The color gamut mapping device controls a hue and saturation of an image signal to match a target color gamut using a hue parameter assigned to each of a plurality of hue axes and a saturation parameter assigned to correspond to each of a plurality of saturation control areas of each hue axis, and the color gamut mapping device changes the saturation of the image signal by changing the saturation parameter which is assigned to each hue axis and corresponds to the uppermost saturation control area so that a gamma characteristic for each color of the image signal is changed to match a target gamma curve for each color.

Abstract: The present disclosure generally relates to displaying and editing image with depth information. Image data associated with an image includes depth information associated with a subject. In response to a request to display the image, a first modified image is displayed. Displaying the first modified image includes displaying, based on the depth information, a first level of simulated lighting on a first portion of the subject and a second level of simulated lighting on a second portion of the subject. After displaying the first modified image, a second modified image is displayed. Displaying the second modified image includes displaying, based on the depth information, a third level of simulated lighting on the first portion of the subject and a fourth level of simulated lighting on the second portion of the subject.