We propose a new variational model for image denoising, which employs mean curvature information of the image surface (x, f(x)) induced by the given image f : Ω → R. Besides removing noise efficiently and preserving edges of objects, our method can also keep corners of objects as well as grey-scale intensity contrasts of images. We also compare our model with the classical ROF model [18].
