TY - GEN
T1 - Motion-compensated spatial-temporal filtering for noisy CFA sequence
AU - Lee, Min Seok
AU - Park, Sang Wook
AU - Kang, Moon Gi
PY - 2012
Y1 - 2012
N2 - Spatial-temporal filters have been widely used in video denoising module. The filters are commonly designed for monochromatic image. However, most digital video cameras use a color filter array (CFA) to get color sequence. We propose a recursive spatial-temporal filter using motion estimation (ME) and motion compensated prediction (MCP) for CFA sequence. In the proposed ME method, we obtain candidate motion vectors from CFA sequence through hypothetical luminance maps. With the estimated motion vectors, the accurate MCP is obtained from CFA sequence by weighted averaging, which is determined by spatial-temporal LMMSE. Then, the temporal filter combines estimated MCP and current pixel. This process is controlled by the motion detection value. After temporal filtering, the spatial filter is applied to the filtered current frame as a post-processing. Experimental results show that the proposed method achieves good denoising performance without motion blurring and acquires high visual quality.
AB - Spatial-temporal filters have been widely used in video denoising module. The filters are commonly designed for monochromatic image. However, most digital video cameras use a color filter array (CFA) to get color sequence. We propose a recursive spatial-temporal filter using motion estimation (ME) and motion compensated prediction (MCP) for CFA sequence. In the proposed ME method, we obtain candidate motion vectors from CFA sequence through hypothetical luminance maps. With the estimated motion vectors, the accurate MCP is obtained from CFA sequence by weighted averaging, which is determined by spatial-temporal LMMSE. Then, the temporal filter combines estimated MCP and current pixel. This process is controlled by the motion detection value. After temporal filtering, the spatial filter is applied to the filtered current frame as a post-processing. Experimental results show that the proposed method achieves good denoising performance without motion blurring and acquires high visual quality.
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U2 - 10.1117/12.907564
DO - 10.1117/12.907564
M3 - Conference contribution
AN - SCOPUS:84863141180
SN - 9780819489425
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
T2 - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Y2 - 23 January 2012 through 25 January 2012
ER -