Fast And Robust Recursive Filter for Image Denoising

Abstract

Image denoising on mobile cameras requires low complexity, but many state-of-the-art denoising methods are computationally intensive. We present a low complexity denoising algorithm using an edge-aware recursive filter (RF). We make two contributions. First, we modify the original RF so that it is significantly more robust when estimating the gradients from noisy inputs. We extend the RF to high-order for texture and heavy noise images. Second, we introduce a SURE-based image fusion technique. We show that while individual RFs have different performance, the fused result is often better. Experimental results show that the new RF performs much faster than other denoisers while providing good quality images.