Image processing method and device of terminal and terminal equipment

Abstract

The embodiment of the invention provides an image processing method and device of a terminal and terminal equipment. The terminal comprises a black-and-white camera and a color camera, and the method comprises the steps that after a photographing function of the terminal is operated, in the preview process, a color RAW image is collected through the color camera, and a black-and-white RAW image is collected through the black-and-white camera; after a shooting instruction is obtained, the color camera and the black and white camera are controlled to be restarted, the color camera is instructed to output images in a pixel merging mode, and the black-and-white camera is instructed to output images in a full-size mode; RAW domain processing is performed on the color RAW image acquired by the color camera to obtain a color YUV image; the black-and-white RAW image collected in the preview process is processed through a second Bayer domain processing algorithm link to obtain a black-and-white YUV image; the color YUV image and the black-and-white YUV image are fused to obtain a target color image, so that more image details are reserved, and the color rendition degree of the target color image is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of smart terminals, and in particular, to a terminal image processing method, device, and terminal equipment. Background technique [0002] Taking pictures is now a common function in mobile phones. With the popularization of smart phones, the application of cameras has become more and more extensive, and the camera function has become more and more excellent. Excellent camera performance has become a major selling point of smartphones. Technological innovations around the camera function are emerging in an endless stream, and the aperture and sensor size are getting larger and larger. These technology and hardware upgrades have a significant impact on smartphone photography, both in terms of photo quality and overall quality. The camera experience has been greatly improved. While pursuing the quality of photos, the thinning and lightening of smartphone bodies is also a major tr...

AI Technical Summary

Problems solved by technology

[0004]Existing image fusion methods lose more image details, resulting in poor color reproduction of the final image; especially when shooting in bright still scenes with forward light When , some details, especially high-frequency details, cannot be fully recovered due to the limited capability of a single camera device and the detail enhancement capability of the algorithm.

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