Nonlocal-means Algorithm for Image Denoising Based on Wavelet Moment in Domain
Xiangyang Wang · Journal of Chinese Computer Systems · 2012
Image denoising is a classical problem in signal-processing.The nonlocal(NL) means filter is a typical technique for denoising textured images.However,this algorithm only defines up to translation invariance,without considering the direction and scale of the image patch.In order to improve the image quality,proposed wavelet moments based on non-local means algorithm for image denoising in nonsubsimpled Wavelet domain.Wavelet moments has rotation invariance and stronger ability to resist noise,therefore using the wavelet moments into NL-means filter can get much more pixels or patches with higher similarity measure.The comparative experimental results show that the improved NL-means filter achieves higher peak-signal-to-noise ratio and obtains better denoising performance.