Motion-compensated spatial-temporal filtering for noisy CFA sequence

Min Seok Lee; Sang Wook Park; Moon Gi Kang

doi:10.1117/12.907564

Motion-compensated spatial-temporal filtering for noisy CFA sequence

Min Seok Lee, Sang Wook Park, Moon Gi Kang

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publication	Algorithms and Systems X; and Parallel Processing for Imaging Applications II
DOIs	https://doi.org/10.1117/12.907564
Publication status	Published - 2012
Event	Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II - Burlingame, CA, United States Duration: 2012 Jan 23 → 2012 Jan 25

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8295
ISSN (Print)	0277-786X

Other

Other	Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Country	United States
City	Burlingame, CA
Period	12/1/23 → 12/1/25

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.907564

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Lee, M. S., Park, S. W., & Kang, M. G. (2012). Motion-compensated spatial-temporal filtering for noisy CFA sequence. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II [82951D] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8295). https://doi.org/10.1117/12.907564

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title = "Motion-compensated spatial-temporal filtering for noisy CFA sequence",

abstract = "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.",

author = "Lee, {Min Seok} and Park, {Sang Wook} and Kang, {Moon Gi}",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II ; Conference date: 23-01-2012 Through 25-01-2012",

year = "2012",

doi = "10.1117/12.907564",

language = "English",

isbn = "9780819489425",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Image Processing",

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Lee, MS, Park, SW & Kang, MG 2012, Motion-compensated spatial-temporal filtering for noisy CFA sequence. in Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II., 82951D, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, Burlingame, CA, United States, 12/1/23. https://doi.org/10.1117/12.907564

Motion-compensated spatial-temporal filtering for noisy CFA sequence. / Lee, Min Seok; Park, Sang Wook; Kang, Moon Gi.

Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II. 2012. 82951D (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8295).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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