Tetrolet Shrinkage with Partial Differential Equations for Image Denoising
LI Zhi-yong · Hainan Daxue xuebao. Ziran kexue ban · 2011
After tetrolet transform was applied to the noise images,the conventional smooth shrinkage results were further processed by partial differential equations.The simulation results indicated that the method not only remove the noise effectively,but also can obtain higher PSNR(Peak Signal to Noise Ratio) and better visual effects.Compared with typical tetrolet transform,the denoised images by our method were smoother,and the blocking artifacts were reduced,and which preserved more significant information of original images,such as edges and details.