Wavelet Based Image Denoising Using Multi-Spinning

The problem of reconstructing digital images from degraded measurement is regarded as a problem of importance in various fields of engineering and imaging sciences. The main goal of denoising is to restore a noisy image to produce visually high quality image. In general, image denoising imposes a compromise between noise reduction and preserving significant image details. In this paper we propose to use multi-spinning based wavelet denoising for restoring images corrupted by Gaussian noise. Multi-spinning uses multiple cyclic shifted versions of image, where each version would capture more detail during decomposition. The visual and quantitative analysis suggest that the proposed method yields better results.