Image processing method and image processing system

Abstract

The invention provides an image enhancing method and an image enhancing system. A gray level of an original image is modified by using a preset gray level histogram algorithm, and therefore the local thinning of the original image is realized. High frequency information extracted from the original image is denoised, and an acquired target high frequency information after the above mentioned denoising processing is reintegrated with low frequency information extracted from the modified image to acquire a target enhanced image. The high frequency information is processed by adopting a semi-soft thresholding method, and an unpolluted image is protected, and at the same time, continuity of a processed wavelet system is guaranteed. High frequency signals and low frequency signals of wavelets are separately processed, and therefore the local thinning processing of the original image is realized, and the integral denoising processing of the original image is carried out, and therefore the integral enhancing effect of the enhanced image is guaranteed.

Description

technical field [0001] This application mainly relates to the field of image processing, and more specifically relates to an image processing method and system. Background technique [0002] In practical applications, in order to improve the visual effect of the image, the overall or local characteristics of the image are purposely emphasized for the application of the image, making the original unclear image clear or emphasizing some interesting features, expanding the The difference between the features of different objects in the image suppresses uninteresting features, thereby improving image quality, enriching the amount of information, enhancing image interpretation and recognition effects, and meeting the needs of some special analysis. [0003] For low-illumination images, in order to meet the above requirements, the histogram equalization processing method is usually used at present to realize the global enhancement of the low-illuminance image, so that the brightne...

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Problems solved by technology

[0003] For low-illumination images, in order to meet the above requirements, the histogram equalization processing method is usually used at present to realize the global enhancement of the low-illuminance image, so that the brightness of the low-illumination image can be improved as a whole, but the enhancement obtained by this method Local details cannot be highlighted in the image

[0004] However, when the local contrast enhancement method is used to enhance the low-illuminance image, although the local details of the low-illumination image can be highlighted, the overall enhancement effect is not obvious and cannot meet the user's visual requirements.

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