Image quality enhancement method, system and device

Abstract

The invention discloses an image quality enhancement method, an image quality enhancement system and an image quality enhancement device. The image quality enhancement method comprises the steps of: performing filtering processing on an image to be enhanced; performing image quality enhancement processing on the image to be enhanced after filtering; dividing regions of the image after image quality enhancement processing to obtain a plurality of image regions; analyzing the plurality of image regions to obtain over-enhanced image regions and weakly-enhanced image regions; carrying out optimization processing on the over-enhanced image regions and the weakly-enhanced image regions; and splicing the image regions after optimization processing to generate a complete image after image qualityenhancement. The image quality enhancement system comprises a filtering module, an image quality enhancement module, a region dividing module, an analysis module, an optimization processing module anda splicing module. The image quality enhancement device comprises a memory and a processor. The optimization processing method, the optimization processing system and the optimization processing device solve the problem of slow image enhancement speed in the prior art, improve the image quality enhancement efficiency, and can be widely applied to the technical field of image processing.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image quality enhancement method, system and device. Background technique [0002] In more than 40 years, digital image processing has rapidly developed into an independent subject with strong vitality. Among them, image enhancement technology has gradually involved in all aspects of human life and social production, such as: aerospace, biomedical, industrial production and public security. Image enhancement specifically refers to enhancing the useful information in an image, which can be a distorted process, and its ultimate goal is to improve the visual effect of the image for a given image application. [0003] The traditional image enhancement method first analyzes the color information and edge data of the image, and then uniformly enhances all areas of the image according to the set enhancement scale, such as edge sharpening, contrast enhancement, and s...

AI Technical Summary

Problems solved by technology

[0003] The traditional image enhancement method first analyzes the color information and edge data of the image, and then uniformly enhances all areas of the image according to the set enhancement scale, such as edge sharpening, contrast enhancement, and saturation enhancement. The traditional image enhancement method is easy to cause some areas of the image to be over-enhanced, while other areas are under-enhanced, the enhancement effect is poor, and the balance is not enough.

In order to solve the above problems, the existing technology proposes a new image quality enhancement method, which divides the entire image into regions, and then recognizes each divided region, and then uses different enhancement scales for image enhancement according to the recognition results , and finally superimpose the enhanced areas. This method solves the problem of poor effect of traditional image enhancement methods, but this method increases the step of area identification, resulting in slow image enhancement, low efficiency, and not applicable. Image quality enhancement for a large number of images (such as dynamic images)

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