Image processing method

Abstract

The invention provides an image processing method. According to the image processing method provided by the invention, brightness clustering partitioning is carried out on an original image; generating a plurality of virtual exposure images with different exposure degrees by utilizing the original image; each virtual exposure image is divided into a plurality of virtual blocks according to the brightness clustering partition of the original image; According to the embodiment of the invention, the virtual blocks to be fused are selected from the virtual blocks of each virtual exposure image andthen are spliced to obtain the processed image, so that the image has better image details, the quality of the image is improved, and the image processing speed can be increased.

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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