image processing method

Abstract

The invention provides an image processing method. In the image processing method of the present invention, the original image is subjected to brightness clustering partitioning, and the original image is used to generate multiple virtual exposure images with different exposures. Each virtual exposure image is divided into multiple virtual blocks according to the brightness clustering partitioning of the original image. , select the virtual blocks to be fused from multiple virtual blocks in each virtual exposure image, and then splice the multiple virtual blocks to be fused to obtain a processed image, which can make the image have better image details and improve the quality of the image. quality and can increase the speed of image processing.

Description

technical field [0001] The present invention relates to the field of display technology, in particular to an image processing method. Background technique [0002] Sensors available in digital imaging devices such as cameras typically capture a much smaller range of brightness than the range of brightness that the human eye can see in a real scene. Traditional digital imaging equipment shoots an image of the scene with a single exposure, so the image only contains a limited range of brightness contrast. Specifically, in a longer exposure time, the exposure is higher. At this time, although the captured scene The low-brightness area can obtain relatively clear image details, but the high-brightness area will show overexposure. On the contrary, in the short exposure time, the exposure is low. Clearer image details, but low-brightness areas will show overexposure, depending on whether the exposure is high or low, and many details in the overly bright or dark areas of the scene...

AI Technical Summary

Problems solved by technology

[0004] An existing image processing method obtains multiple images with different exposure levels, and performs weight fusion processing on multiple images with different exposure levels to finally obtain an HDR image with a high brightness range. This method uses multiple exposure images For fusion, the problem of image displacement is not easy to deal with

Another existing image processing method uses a single input image to generate multiple virtual exposure images, and then performs weight fusion processing on the multiple virtual exposure images to finally obtain an HDR image with a high brightness range. The weight processing of a virtual exposure image requires a large amount of calculation and processing, and it is impossible to perform contrast enhancement processing on individual brightness blocks.

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