Image De-noising Algorithm based on Image Reconstruction and Compression Perception

In this paper, we conduct research on the image de-noising algorithm based on the image reconstruction and compression perception. Compressed sensing theory was proposed by the wide attention of experts in the field, the current compression perception theory has been applied to many fields, such as: basic compressed sensing radar, wireless sensor network as medical image processing. Therefore, we apply it on the area of the image de-noising. Combined with K-SVD algorithm and structure similarity measures, this paper puts forward the sparse representation of image de-noising algorithm based on structure similarity, to improve the dictionary. The performance and effectiveness are verified through the final experiment part.