• Title/Summary/Keyword: video de-noising

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Video De-noising Using Adaptive Temporal and Spatial Filter Based on Mean Square Error Estimation (MSE 추정에 기반한 적응적인 시간적 공간적 비디오 디노이징 필터)

  • Jin, Changshou;Kim, Jongho;Choe, Yoonsik
    • Journal of Broadcast Engineering
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    • v.17 no.6
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    • pp.1048-1060
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    • 2012
  • In this paper, an adaptive temporal and spatial filter (ATSF) based on mean square error (MSE) estimation is proposed. ATSF is a block based de-noising algorithm. Each noisy block is selectively filtered by a temporal filter or a spatial filter. Multi-hypothesis motion compensated filter (MHMCF) and bilateral filter are chosen as the temporal filter and the spatial filter, respectively. Although there is no original video, we mathematically derivate a formular to estimate the real MSE between a block de-noised by MHMCF and its original block and a linear model is proposed to estimate the real MSE between a block de-noised by bilateral filter and its original block. Finally, each noisy block is processed by the filter with a smaller estimated MSE. Simulation results show that our proposed algorithm achieves substantial improvements in terms of both visual quality and PSNR as compared with the conventional de-noising algorithms.