Efficient coding of video sequences by non-local in-loop denoising of reference frames
Eugen Wige, Gilbert Yammine, Peter Amon, Andreas Hutter, André Kaup · 2011
The compression efficiency of coding noisy image sequences is highly dependent on the noise itself and on the used quantization parameter. For very high quality near lossless compression a promising approach to save bitrate is to introduce an in-loop denoising filter in the codec. In this paper, we enhance our in-loop denoising scheme by a low complexity noise variance estimation algorithm. Additionally, we compare three different algorithms for denoising of the reference frame for medium to high quality compression of noisy videos. We use a low complexity adaptive Wiener filter, the NonLocal Means algorithm, and the BM3D algorithm for denoising of the reference frame only. We show that maximum bitrate savings up to 18% can be achieved using a sophisticated algorithm like the BM3D and up to 12% using a low complexity algorithm like the adaptive Wiener filter.