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.

An imaging system includes a processor, a memory, a visible light camera configured to record a first image of a scene, and an infrared camera configured to record a second image of the scene. The processor configured to execute instructions stored in the memory to input the first image and the second image into a neural network. The neural network relights the first image, based on characteristics of the second image, to correspond to an image of the scene under canonical illumination conditions.

Described herein is a computer implemented method. The method includes accessing input image data defining a plurality of input pixels and processing the input image data to generate output image data. The output image data defines a plurality of output pixels, each corresponding to an input pixel. At least one output pixel is generated by a sampling process that includes: selecting a working pixel from the plurality of input pixels; selecting a set of sample pixels for the working pixel, wherein each sample pixel is an input pixel that is selected as a sample pixel based on whether the input pixel is positioned within a depth-adjusted sampling area, the depth-adjusted sampling area for a particular input pixel being determined based on a depth separation between that particular input pixel and the working pixel; and generating an output pixel corresponding to the working pixel based on the set of sample pixels.

According to an embodiment, an electronic device, comprises a display; a camera module disposed under the display and configured to generate an image by sensing light passing through the display; and a processor configured to determine an intensity of a light source in the image, determine whether the light source is present in a preset area in the image when the intensity of the light source is greater than a preset threshold value, and reduce one or more artifacts from or in the image when the one or more artifacts are detected in the image based on results of the determining.

A digital loupe system is provided which can include a number of features. In one embodiment, the digital loupe system can include a stereo camera pair and a distance sensor. The system can further include a processor configured to perform a transformation to image signals from the stereo camera pair based on a distance measurement from the distance sensor and from camera calibration information. In some examples, the system can use the depth information and the calibration information to correct for parallax between the cameras to provide a multi-channel image. Ergonomic head mounting systems are also provided. In some implementations, the head mounting systems can be configurable to support the weight of a digital loupe system, including placing one or two oculars in a line of sight with an eye of a user, while improving overall ergonomics, including peripheral vision, comfort, stability, and adjustability. Methods of use are also provided.

Disclosed is an image sensing device and an operating method thereof. The image sensing device may include an analyzer suitable for analyzing a state of each of multiple kernels based on system information and a plurality of pixel values, a detector suitable for detecting color noise of a target pixel value among pixel values included in a target kernel among the multiple kernels, according to the analysis result of the analyzer, and a corrector suitable for correcting the target pixel value according to the detection result of the detector.

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.

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.

An image processing method includes: converting a red yellow blue RYB image into a grid image based on a red green blue RGB format; generating a first brightness layer of the grid image, and determining a reference gain compensation array used to adjust the first brightness layer; obtaining, based on a preset compensation array correspondence, a target gain compensation array that is associated with the reference gain compensation array and based on an RYB format; and adjusting a second brightness layer of the RYB image by using the target gain compensation array, to generate a corrected image.

Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.