Feedback And Adjustment Of Image Denoising

With the continuous development and progress of the times,the maturity of science and technology and the development of the Internet,image processing tech-nology has gradually been valued,and its technology has been fully applied in many fields.People also have higher and higher requirements for image quality.In reality,due to the interference of imaging equipment and external environmental noise,dig-ital images may have various noises during digitization and transmission,so we need to reduce noise,good quality of noise reduction Bad or not will affect the subsequent image processing work,such as image segmentation,edge detection,compression,target recognition,etc.quality^[9].In this paper,the image is denoised by the3algorithm,and further,by calculating the variance of each pixel and the global variance,the pixel points that the algorithm has not processed are fed back,and the adjustment is improved based on this.It has achieved good results.The paper is discussed in four chapters.The first part introduces the background meaning of image noise reduction research and the image noise reduction quality evaluation standard.Then it introduces the preliminary knowledge of image noise reduction,common noise types and domestic and foreign.More classic image denoising algorithm;Again introduced the feedback adjustment based on3noise reduction;Finally,the experimental results,an objective evaluation and summary of this article.