Abstract:

A remote sensing image denoising algorithm based on support vector value contourlet transform is proposed. Firstly, a support vector value filter constructed by support vector machine is combined with directional filter banks, and a support vector value contourlet transform is constructed. 〖JP2〗Then the transform is used to decompose the noising remote sensing image into low frequency subbands and directional high frequency subbands. Finally, all subbands are denoised based on support vector regression. Experiments show that the support vector value contourlet transform has the advantages of shift invariant, good generalization and strong catching singularity ability. By using this proposed denoising algorithm, the image noise is removed while edges are preserved effectively.