Systems and methods for medical imaging and spectroscopy analysis are disclosed. Some embodiments relate to digital staining. Some embodiments relate to digital staining using hyperspectral or multispectral imaging. Some embodiments relate to digital staining using RGB imaging. Some embodiments relate to analysis of other types of medical imaging and spectroscopy. Some embodiments relate to platform for performing analysis of medical imaging and spectroscopy data.

Systems and methods for medical imaging and spectroscopy analysis are disclosed. Some embodiments relate to digital staining. Some embodiments relate to digital staining using hyperspectral or multispectral imaging. Some embodiments relate to digital staining using RGB imaging. Some embodiments relate to analysis of other types of medical imaging and spectroscopy. Some embodiments relate to platform for performing analysis of medical imaging and spectroscopy data.

Disclosed herein are improvements to pixel pattern conversion, upsampling, and IR decontamination processes. An example includes an image processing pipeline comprising an upstream component, a pattern conversion component downstream with respect to the upstream component in the image processing pipeline, and a downstream component relative to the pattern conversion component. The pattern conversion component is configured to obtain RGB-IR pixel data produced by the upstream component of the image processing pipeline and convert the RGB-IR pixel data into RGB pixel data and IR pixel data using a conversion engine. The conversion engine is configured to demosaic the RGB-IR pixel into the RGB pixel data and the IR pixel data, remosaic the RGB pixel data into an RGB pattern and the IR pixel data into an IR pattern and remove IR contamination from the RGB pixel data of the RGB pattern for use by the downstream component.

Disclosed herein are improvements to pixel pattern conversion, upsampling, and IR decontamination processes. An example includes an image processing pipeline comprising an upstream component, a pattern conversion component downstream with respect to the upstream component in the image processing pipeline, and a downstream component relative to the pattern conversion component. The pattern conversion component is configured to obtain RGB-IR pixel data produced by the upstream component of the image processing pipeline and convert the RGB-IR pixel data into RGB pixel data and IR pixel data using a conversion engine. The conversion engine is configured to demosaic the RGB-IR pixel into the RGB pixel data and the IR pixel data, remosaic the RGB pixel data into an RGB pattern and the IR pixel data into an IR pattern and remove IR contamination from the RGB pixel data of the RGB pattern for use by the downstream component.

A color calibration method includes acquiring first pictures in a first color space, a first picture being generated by one pure color; converting brightness of the first pictures from the first color space to a second color space to obtain second pictures in the second color space to display through a display device; acquiring photographed pictures by photographing the second pictures, the photographed pictures corresponding to a third color space; converting the photographed pictures from the third color space to the first color space to obtain photographed pictures in the first color space, and determining photographing color information corresponding to the photographed pictures in the first color space; and determining a difference between standard color information of the first color space and the photographing color information, and determining color calibration information according to the difference, the color calibration information being used for performing color calibration on a picture.

A color calibration method includes acquiring first pictures in a first color space, a first picture being generated by one pure color; converting brightness of the first pictures from the first color space to a second color space to obtain second pictures in the second color space to display through a display device; acquiring photographed pictures by photographing the second pictures, the photographed pictures corresponding to a third color space; converting the photographed pictures from the third color space to the first color space to obtain photographed pictures in the first color space, and determining photographing color information corresponding to the photographed pictures in the first color space; and determining a difference between standard color information of the first color space and the photographing color information, and determining color calibration information according to the difference, the color calibration information being used for performing color calibration on a picture.

The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.

The present disclosure provides methods and systems for image correction. The method may include obtaining a first frame captured by an image acquisition device, a second frame captured by the image acquisition device prior to the first frame, and a correction coefficient of the first frame; determining, based on the first frame and the second frame, whether a gamma curve of the image acquisition device has been adjusted; in response to determining that the gamma curve of the image acquisition device has been adjusted, determining an adjustment coefficient of the correction coefficient based on the first frame and the second frame; and adjusting, based on the adjustment coefficient, the correction coefficient of the first frame.

An image processing method and an electronic device are provided. The image processing method includes: displaying a first interface, where the first interface includes a first control; detecting a first operation on the first control; obtaining a first image stream in response to the first operation, where the first image stream is an image stream of first color space; converting the first image stream into a second image stream of second color space according to a demosaicing algorithm; performing downsampling and resampling on the second image stream to obtain a third image stream, where the third image stream is an image stream of the first color space, and a size of the third image stream is less than that of the first image stream; and performing image processing on the third image stream to obtain a fourth image stream.

Embodiments of this application relate to the technical field of video shooting, and provide a video processing method and apparatus, an electronic device, and a storage medium. The video processing method includes: determining one video style template among a plurality of video style templates, where each video style template is corresponding to a preset look up table LUT; obtaining a video shot through a camera lens; processing the video shot through the camera lens by using a logarithm LOG curve corresponding to a current photosensitivity ISO of the camera lens, to obtain a LOG video; and processing the LOG video based on a LUT corresponding to the determined video style template, to obtain a video corresponding to the determined video style template.