Research on Image Processing Applications Based on Matrix Completion
In recent years,the application of matrix completion in image processing has been a hot topic of concern,and it is of great significance in promoting the development and application of image processing technology.In view of this,it is necessary to conduct research on the application of matrix completion based image processing in this article.Firstly,this article analyzes matrix completion and its algorithm principles,and then outlines the current applications and impacts of matrix completion.Subsequently,the application of matrix completion in image processing was elaborated in detail.Taking Gaussian denoising of images as an example,a mathematical model was established and matrix completion denoising using singular value decomposition was designed and verified through experiments.Subsequently,improvements and optimizations of matrix completion technology were analyzed,along with case studies.Finally,prospects for image processing applications based on matrix completion were presented.
matrix completionsingular value decompositionimage denoising
万方数据
维普
