Color video denoising based on adaptive color space conversion
Denoising is one of the most common and important task in video processing systems and abundant efforts have been made on video denoising nowadays. Multihypothesis motion compensated filter (MHMCF) is an effective video denoising method, which combines multiple hypotheses obtained from motion estimation through a number of reference frames by weighted average to suppress noise. However, MHMCF only considers denoising of grayscale video signal. In this paper, we apply MHMCF to color video denoising, where the RGB video is first transformed to the luminance-color difference space before denoising. Instead of using traditional YCbCr color conversion, we propose a novel color conversion matrix which is adaptive to the noise variance in R, G, B channels. Simulation results demonstrate that our proposed color space conversion method can successfully improve the denoising performance for color video.