Texture preserving denoising method combining total variation and wavelet shrinkage
Tao Zhang, Qibin Fan · Wuhan University Journal of Natural Sciences · 2010
In this paper, we propose a new image denoising method that combines total variation (TV) method and wavelet shrinkage. In our method, a noisy image is decomposed into subbands of LL, LH, HL, and HH in wavelet domain. LL subband contains the low frequency coefficients along with less noise, which can be easily eliminated using TV-based method. More edges and other detailed information like textures are contained in the other three subbands, and we propose a shrinkage method based on the local variance to extract them from high frequency noise. Experimental results show that this method retains the edges and textures very well while removing noise.