Multispinning for Image Denoising

The problem of reconstructing digital images from degraded measurements is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore a noisy image to produce a visually high quality image. In this paper, we propose a novel transform domain technique that uses multispinning for image denoising. The proposed method uses multiple cyclic shifted versions of an image, where each of them would capture more detail information during decomposition. Discrete wavelet transform (DWT) and contourlet transform (CT) in association with multispinning is used. The results are compared with traditional transform (soft thresholding) and spatial domain techniques. The visual and quantitative evaluation suggests that the proposed method yields better results.