Image processing method and device for black edge optimization, equipment and storage medium

Abstract

The invention provides an image processing method for black edge optimization. The method comprises the following steps: providing an original image; obtaining original data of all pixel points according to the original image, sequentially obtaining a first image, first brightness data, a second image, second brightness data and a stretching gain value according to the original image, and obtaining output data according to the original data and the stretching gain value; determining a highlight area of the image according to the second brightness data; black edge pixel points are obtained according to the highlight area; adjusting the stretching gain value to adjust the output data of the black edge pixel points to obtain black edge optimization data; and outputting the black edge optimization data. According to the invention, the processing of the pixel points of the black edge is realized, the filtering of the pixel points of the black edge and the sacrifice of the overall dynamic range of the image are avoided, the black edge is processed under the condition of ensuring the overall dynamic range of the image, and the processing quality of the black edge of the image is ensured. The invention also provides a device and equipment for implementing the image processing method for black edge optimization, and a storage medium.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method for black border optimization and its device, equipment and storage medium. Background technique [0002] When the CMOS image sensor performs high-dynamic range (High-Dynamic Range, HDR) image exposure, due to the limitation of the sensor, the exposure ratio is fixed. For example, the fixed exposure ratio of long, medium and short three-frame exposure is 256:16 :1. In some scenes such as night, the dynamic range of the long, medium and short three-frame image exposure will be too large, and the local stretching ratio will be too high when the fused HDR image is tone mapped (Tone Mapping). The phenomenon, which leads to the local halo phenomenon that occurs when the pixel data is converted from the brightness domain to the RAW domain, that is, the black border phenomenon around the bright light. [0003] At present, the conventional Tone Mapping ...

AI Technical Summary

Problems solved by technology

The invention adopts double preset thresholds and the method of judging continuous change, detects the black edge of the image in the memory, and then obtains the starting position of the data effective image signal, and finally achieves the purpose of eliminating the black edge, but sacrifices the overall dynamic range of the image

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