An image denoising method combining surfacelet transform and multidirectional cycle spinning
Liu Dan-dan · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2009
In order to effectively retain details and texture while de-noising images,a new method for image denoising was developed which brings the strong points of surfacelet transform and multidirectional cycle spinning.Surfacelet transform is good at multidimensional signal processing,but it does not directly adapt to processing 2-D images.Many noisy images were processed with multi-directional cycle spinning and compressed to image sequences.These images were synthesized into an image sequence,and then surfacelet transform was conducted to denoise the hard threshold coefficient.Experimental results indicated that this method of de-noising images avoids the pseudo-Gibbs phenomenon as well as wavelet and nick effects.The method yields obviously better visual effects and high peak signal-to-noise ratio(PSNR) values.