Method and device for image enhancement

Abstract

The invention provides a method and a device for image enhancement. The method includes the following steps: dividing an image into three image forms of R, G and B, setting a critical pixel value, and conducting pixel enhancement on image form pixels smaller or equal to and larger than the critical pixel value by adopting different preset rules; calculating relative light and shade relation values among the pixels in each image form of the pixel-enhanced R, G and B image forms; respectively finding the maximum relative light and shade relation value and the minimum relative light and shade relation value of each line in each image form; conducting mapping reset according to the relative light and shade relation value among the pixels in each image form, the maximum relative light and shade relation value and the minimum relative light and shade relation value of each line in each image form to obtain finally-adjusted image forms and finish the image enhancement. By means of the method and the device for the image enhancement, image vision integrated smoothness is good, and image contrast is strong.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image enhancement method and an image enhancement device. Background technique [0002] Usually digital images are affected by the environment when shooting and collecting, and they will appear too dark or too bright, resulting in poor visual quality of captured images, such as low image contrast, low fidelity, blurred image details, etc. . Therefore, it is necessary to use an image enhancement method to perform related processing on the captured digital images. There are two main traditional image enhancement methods: [0003] 1. A color stretching enhancement method, which implements image enhancement by linearly stretching a certain color interval. However, the disadvantages of this method are: the image contrast enhancement effect is not obvious, and the excessive edge seam between each color adjustment area is obvious, and the overall smoothing effect ...

AI Technical Summary

Problems solved by technology

However, the disadvantages of this method are: the image contrast enhancement effect is not obvious, and the excessive edge seam between each color adjustment area is obvious, and the overall smoothing effect of the image is not good;

The disadvantage of this method is that the gray levels of the image are likely to be merged too much, which will lead to excessive reduction of gray levels after processing, which reduces the gray level of the image; moreover, this method cannot adapt to the local brightness characteristics of the input image. This limits the degree of contrast stretching in certain parts of the image, resulting in image contrast deterioration for backgrounds and small objects in the processed result

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