Rotation invariant similarity measure for non-local self-similarity based image denoising Universiteit Gent
Non-local self-similarity based image denoising depends strictly on similarity measure. The denoising performance is determined based on the ability to reliably find sufficient number of similar patches. In this paper, we propose a rotation invariant similarity measure to fully exploit the image non-local self-similarity. Instead of using image patches, we employ local frequency descriptors, that are rotation invariant and robust to noise, to ...