Abstract
At present, various image quality evaluation algorithms emerge in endlessly. The establishment of these algorithms, the performance evaluation of the system and the accuracy of evaluation results all need to be based on images of different quality as reference standards. This paper selects the peak signal-to-noise ratio as the characteristic parameter to measure whether the image quality changes, and uses the control image quality parameter to control the image quality. The experimental results show that the model can quickly and accurately obtain a large number of images with different distortion degrees, and control the image quality.
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