Publication Details
Ljubomir Jovanov, Alexandra Pizurica, Stefan Schulte, Peter Schelkens, Adrian Munteanu, Etienne Kerre, Wilfried Philips

IEEE Transactions on Circuits and Systems for Video Technology

Contribution To Journal


Integrating video coding and video denoising is a novel processing paradigm, bringing mutual benefits to both video processing tools. In this paper, we propose a novel video denoising approach of which the main idea is re-using of motion estimation resources from the video coding module for video denoising. In most cases, the motion fields produced by video codecs cannot be directly employed in video denoising, since codecs, as opposed to noise filters, tolerate errors in the motion field. In order to solve this problem, we propose a novel motion-field filtering step that refines the accuracy of the motion estimates to a degree that is required for denoising. Additionally, a novel temporal filter is proposed that is robust against errors in the estimated motion field. Finally, we design three practical denoising schemes, all employing wavelet-based spatial- and motion-compensated temporal filtering. The proposed schemes differ in the filtering order (spatio-temporal and temporal-spatial) and in the employed motion estimators. Numerical results demonstrate that the proposed denoising schemes are of low-complexity and compare favorably to the latest video denoising methods.