Abstract: The noise is inevitable in the process of image acquisition,image storage and image transmission．To suppress the noise effectively and preserve the structural information of the image,a new method based on structural information was presented．The method extracts the sub-block sample from the pure image to build the structural element library．The structure elements are regarded as the sample of the same general．By RPCA transform,the parse representation kernel function of the structure element library of the same type samples is built adaptively which can smooth the image and preserve the edge effectively．The method analyses the distributions of noise and structure information in kernel space from the theory．Experimental results show that the proposed algorithm can suppress the noise of the image and protect the structural information of the image more effectively.

Key words: Structural information,RPCA,Image denoising