Image bit depth enhancing method

Abstract

The invention discloses an image bit depth enhancing method. The image bit depth enhancing method includes the steps: detecting an original image to obtain an overexposure area, and then determining whether the overexposure area is an SR overexposure area or an LS overexposure area; utilizing corresponding overexposure processing methods to perform overexposure processing of the original image; and utilizing a bit depth enhancing algorithm of a normal exposure image to perform bit depth enhancement of the image after overexposure processing. Compared with the overall transformation, the image bit depth enhancing method takes the characteristics of different areas in the image into account. Compared with the local transformation, the image bit depth enhancing method processes the overexposure area in advance, and can utilize the same transformation function for the whole image during the subsequent bit depth enhancing process so that the complexity of bit depth enhancement is reduced and the efficiency of the whole algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and more specifically relates to an image bit depth enhancement method. Background technique [0002] Since high dynamic range images can better represent the true color range of actual scenes, they have received great attention in image processing related fields in recent years. The corresponding high dynamic range display device is also favored by researchers because it can provide a wider dynamic range and a more beautiful picture. The emergence of high dynamic range display devices and the superior performance of high dynamic range images have triggered researchers' research on obtaining high dynamic range images from currently popular low dynamic range images, that is, image bit depth enhancement technology. [0003] Image bit depth enhancement is a branch of image resolution enhancement. To achieve image resolution enhancement (including spatial domain resolution enhancement and ...

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Problems solved by technology

[0005] The local transformation method uses different transformation functions for the overexposed area and the non-overexposed area in the image. Although the local characteristics of the image are considered, it brings two problems: 1. Due to the use of different transformation functions, the overexposed area The edges tha

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