Abstract: This paper presented an image denoising algorithm based on context model by analyzing distribution features of contourlets coefficients. I}he key of the proposed arithmetic is that through the analysis of C T coefficients distribution characteristics,we chose the appropriate denoising thresholding,adopted the context model to construct CI} coefficient's classification model,and according to different classification,image noise was removed by using different threshold. The experimental results show that the proposed algorithm can effectively remove the noise in images. The algorithm also demonstrates good performance in enhancing image PSNR and improves the image subjective visual impression.

Key words: Contourlet transform,Image denoising,Context model