An image signal processor includes a first matrix processing circuit, a post processing circuit, a second matrix processing circuit, and a split visual and analytics circuit. The first matrix processing circuit is configured to receive a plurality of component images generated based on an image captured by an image sensor and generate a plurality of first matrix outputs based on the plurality of component images. The post processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a first luminance component of the image and a chrominance component of the image. The second matrix processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a second luminance component of the image and a saturation component of the image. The split visual and analytics circuit is configured to generate visual and analytic data of the image.

An image signal processor includes a first matrix processing circuit, a post processing circuit, a second matrix processing circuit, and a split visual and analytics circuit. The first matrix processing circuit is configured to receive a plurality of component images generated based on an image captured by an image sensor and generate a plurality of first matrix outputs based on the plurality of component images. The post processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a first luminance component of the image and a chrominance component of the image. The second matrix processing circuit is configured to perform color conversion on the plurality of first matrix outputs to generate a second luminance component of the image and a saturation component of the image. The split visual and analytics circuit is configured to generate visual and analytic data of the image.

A method for determining and suppressing Moiré pattern, and a circuit system thereof are provided. In the method, a brightness value of pixels of an image can be obtained. For each of the pixels of the image, a detection window is provided for calculating a Moiré pattern response value of a plurality of critical pixels and corresponding adjacent pixels. The critical pixels within the detection window are selected for determining a type of Moiré pattern. After, it is to compare the brightness values of the critical pixels and the corresponding adjacent pixels within the detection window. The comparison results can be used to determine the brightness characteristics of the pixels through a statistical method. Moiré pattern response value and the statistics are used to determine type and position of the Moiré pattern. A color noise suppression process is performed on the pixels to be determined as Moiré pattern.

A method for determining and suppressing Moiré pattern, and a circuit system thereof are provided. In the method, a brightness value of pixels of an image can be obtained. For each of the pixels of the image, a detection window is provided for calculating a Moiré pattern response value of a plurality of critical pixels and corresponding adjacent pixels. The critical pixels within the detection window are selected for determining a type of Moiré pattern. After, it is to compare the brightness values of the critical pixels and the corresponding adjacent pixels within the detection window. The comparison results can be used to determine the brightness characteristics of the pixels through a statistical method. Moiré pattern response value and the statistics are used to determine type and position of the Moiré pattern. A color noise suppression process is performed on the pixels to be determined as Moiré pattern.

The present disclosure provides a gamut mapping method and a system. The method includes: obtaining a brightness value of each sampling point corresponding to image data of a transmission end on a basis of a three-dimensional mapping table; performing equal-brightness cutting on a three-dimensional gamut model of the transmission end and a three-dimensional gamut model of a display end separately on a basis of the brightness value of each sampling point to form a corresponding equal-brightness two-dimensional surface; and performing color mapping on a basis of the formed equal-brightness two-dimensional surface and outputting mapping data. Hence, during gamut mapping, brightness and tone are kept unchanged, precise matching of three-dimensional gamut mapping from a transmission gamut to a display gamut is realized, avoiding problems of image distortion or a display error or the like due to mapping mismatch between the transmission gamut and the display gamut.

The present disclosure provides a gamut mapping method and a system. The method includes: obtaining a brightness value of each sampling point corresponding to image data of a transmission end on a basis of a three-dimensional mapping table; performing equal-brightness cutting on a three-dimensional gamut model of the transmission end and a three-dimensional gamut model of a display end separately on a basis of the brightness value of each sampling point to form a corresponding equal-brightness two-dimensional surface; and performing color mapping on a basis of the formed equal-brightness two-dimensional surface and outputting mapping data. Hence, during gamut mapping, brightness and tone are kept unchanged, precise matching of three-dimensional gamut mapping from a transmission gamut to a display gamut is realized, avoiding problems of image distortion or a display error or the like due to mapping mismatch between the transmission gamut and the display gamut.

A system, method, and computer program product for generating a lightweight source code for implementing an image processing pipeline is disclosed. The method comprises receiving a specification for an image processing pipeline based on configuration settings associated with a user interface of a viewer application, generating a graphics language (GL) representation of the image processing pipeline based on the specification, and code for causing the GL representation to be compiled via a compile service to generate a binary executable instantiation of the image processing pipeline for execution on one or more graphics processing unit (GPU) cores.

An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing a first pattern image and a second pattern image, a communication interface comprising communication circuitry configured to communicate with an external terminal apparatus, a projection part including a projection lens, and a processor configured to: control the projection part to project the first pattern image on a screen member comprising a reflector located on a projection surface, and based on receiving a first photographed image which photographed the screen member from the external terminal apparatus through the communication interface, acquire transformation information based on the first photographed image and the first pattern image, control the projection part to project the second pattern image on the projection surface, and based on receiving a second photographed image which photographed the projection surface from the external terminal apparatus through the communication interface, perform color calibration based on the characteristic of the projection surface based on the second photographed image, the second pattern image, and the transformation information.

Systems and methods of the invention merge information from multiple image sensors to provide a high dynamic range (HDR) video. The present invention provides for real-time HDR video production using multiple sensors and pipeline processing techniques. According to the invention, multiple sensors with different exposures each produces an ordered stream of frame-independent pixel values. The pixel values are streamed through a pipeline on a processing device. The pipeline includes a kernel operation that identifies saturated ones of the pixel values. The streams of pixel values are merged to produce an HDR video.

Systems and methods of the invention merge information from multiple image sensors to provide a high dynamic range (HDR) video. The present invention provides for real-time HDR video production using multiple sensors and pipeline processing techniques. According to the invention, multiple sensors with different exposures each produces an ordered stream of frame-independent pixel values. The pixel values are streamed through a pipeline on a processing device. The pipeline includes a kernel operation that identifies saturated ones of the pixel values. The streams of pixel values are merged to produce an HDR video.