Abstract
An image denoising method based on symmetric normal inverse Gaussian (SNIG) model within the framework of non-local means (NLM) is proposed in this paper. We use Structural Similarity (SSIM) to compute the value of SSIM between the reference patch and its similar versions, and remove the dissimilar pixels. Besides, the SNIG model is adopted to adjust the coefficients of these patches with low SSIM in DT-CWT domain. Experiments show that the proposed method has the capacity to denoise effectively, improves the peak signal-to-noise ratio of the image, and keeps better visual result in edges information reservation as well.
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