Contrast enhancement method, device and equipment

Abstract

The invention discloses a contrast enhancement method, a contrast enhancement device and contrast enhancement equipment, which can improve the visual effect of an image. The method comprises the following steps: calculating histograms of R, G, B and brightness channels of an image to be processed, and performing down-sampling; calculating the brightness mean square error of the down-sampled image, determining the number of blocks, dividing the blocks, and calculating the histograms of R, G, B and brightness channels of each sub-block image; performing weighted fusion on the histograms of the R, G and B channels of each sub-block image according to the histograms of the R, G and B channels of the image to be processed and the histograms of the brightness channels, and then performing equalization processing; calculating a first mapping relation between original pixel points of each sub-block image and histogram pixel points after weighted fusion and equalization processing of each sub-block image; smoothing the first mapping relation to obtain a second mapping relation; performing interpolation processing on the second mapping relation to obtain a third mapping relation; and obtaining an output pixel value of the to-be-processed image according to the third mapping relation.

Description

technical field [0001] The invention relates to the technical field of image data processing, in particular to a contrast enhancement method, device and equipment. Background technique [0002] During the imaging process of the equipment, due to the influence of various factors such as natural lighting environment and imaging equipment, the imaging degrades, resulting in blurred local details of the image, which directly affects the analysis and evaluation of the target features. Enhancing the contrast of an image is a widely used image quality enhancement technique. [0003] At present, the existing technology mostly adopts the method of multiple grayscale mapping curves to adjust the image contrast. According to the grayscale statistical data of the image and the detection signal of the scene, the curve used for grayscale mapping is determined, and then the image is grayscale mapped. , so as to perform dynamic contrast adjustment. However, this method has the following d...

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Problems solved by technology

However, this method has the following defects: when the gray level distribution in the scene changes slightly, the scene detection signal frequently switches between various modes, so that the image flickers, the picture is distorted, and the visual effect of the image is reduced. At the same time, In this way of using alternative curves, the optional range of dynamic adjustment is also very limited

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