Method and device for improving image quality

Abstract

The invention provides a image quality improving apparatus which comprises: an exposure acquiring module for acquiring the exposure of image; a saturation regulating module for increasing or decreasing the image saturation according to the exposure; acutance regulating module for increasing, decreasing or eliminating the image or doing the anti-acutance according to the exposure; a contrast regulating module, for increasing or decreasing the image contrast according to the exposure; a color enhancement regulating module, for increasing or decreasing the image color intensity, or eliminating the color enhancing function according to the exposure; and a noise reduction module for opening, closing or reducing the image noise reduction function. Processed by the apparatus, the image becomes color saturated, verisimilar, clear and low noised.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for improving image quality. Background technique [0002] Image quality is very important to image readers. Good image quality can clearly display the content carried by the image, which is helpful for image readers to obtain the information carried by the image and make timely responses. However, the quality of the image in reality is not satisfactory. Usually, the color saturation of the image is not enough, the image looks blurred, and the light and shade are not clear. [0003] The existing technology adjusts the saturation of the image according to the exposure time of the image or the brightness gain coefficient, so that the image switches from color to black and white, or from black and white to color. In actual operation, the logic of judging image quality by image exposure time or luminance gain coefficient is complicated, and the physical ...

AI Technical Summary

Problems solved by technology

In actual operation, the logic of judging image quality by image exposure time or luminance gain coefficient is complicated, and the physical meaning is not clear; at the same time, image switching will cause visual mutations, making it difficult for people to accept

Furthermore, if the saturation of the image is only adjusted, the image quality will not reach a satisfactory level.

For example, when the exposure is high, just switch the image from color to black and white, although there is no color noise in the image, but due to the switching, the image will produce black and white noise, which still affects the quality of the image

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