Image denoising using BM3D combining tetrolet prefiltering

Image denoising is the hot spot of digital image processing and BM3D algorithm achieves an outstanding denoising performance, but BM3D has a sharp drop in denoising result when noise standard deviation reaches 40. In order to resolve this problem, an improved version of BM3D is proposed which combines BM3D with Tetrolet prefiltering. Tetrolet transform on strongly noisy image is done to remove part of the noise, then BM3D is executed. The experimental results show that the proposed modification delivers better performance than BM3D on the same level of running time, both in terms of objective criteria and visual quality. © 2031 Asian Network for Scientific Information.