Patch-based locally optimal denoising

In our previous work [1], we formulated the fundamental limits of image denoising. In this paper, we propose a practical algorithm where the motivation is to realize a locally optimal denoising filter that achieves the lower bound. The proposed method is a patch-based Wiener filter that takes advantage of both geometrically and photometrically similar patches. The resultant approach has a nice statistical foundation while producing denoising results that are comparable to or exceeding the current state-of-the-art, both visually and quantitatively.