IMAGE RESTORATION AND DETAIL PRESERVATION BY BAYESIAN ESTIMATION
Huiyu Zhou, Tangwei Liu, Faquan Lin, Yusheng Pang, Ji Tao Wu · International Journal of Image and Graphics · 2007
In this paper, we present a novel noise suppression and detail preservation algorithm. The test image is firstly pre-processed through a multiresolution analysis employing the discrete wavelet transform. Then, we apply a fast and robust total variation technique, incorporating a statistical representation in the style of maximum likelihood estimation. Finally, we compare this proposed approach to current state-of-the-art denoising methods using synthetic and real images. The results demonstrate encouraging performance of our algorithm.