Image enhancement and denoise based on structure self-similarity and wavelet transform coefficients

Image denoise is a very important method in image quality improvement. And, the image quality evaluation is another important aspect in image processing. In the paper, a novel enhancement algorithm based on wavelet transform (WT) and structure self-similarity (SSS) is introduced, which was attested to algorithm effective for enhancement and confining random noise. The algorithm mainly includes two steps. At first, image was separated into 4^N blocks equally based on the self-similarity. And then, wavelet transform coefficients were used to enhance edge characters. At the same time, image noises are also confined. Experiment results show the excellent effect of the algorithm.