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Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video

Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video

Ji-Hye Kim, Ji Won Lee, Rae-Hong Park, Min-Ho Park, Jae-Seob Shin
Copyright: © 2013 |Pages: 26
ISBN13: 9781466639584|ISBN10: 146663958X|EISBN13: 9781466639591
DOI: 10.4018/978-1-4666-3958-4.ch005
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MLA

Kim, Ji-Hye, et al. "Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video." Intelligent Image and Video Interpretation: Algorithms and Applications, edited by Jing Tian and Li Chen, IGI Global, 2013, pp. 139-164. https://doi.org/10.4018/978-1-4666-3958-4.ch005

APA

Kim, J., Lee, J. W., Park, R., Park, M., & Shin, J. (2013). Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video. In J. Tian & L. Chen (Eds.), Intelligent Image and Video Interpretation: Algorithms and Applications (pp. 139-164). IGI Global. https://doi.org/10.4018/978-1-4666-3958-4.ch005

Chicago

Kim, Ji-Hye, et al. "Adaptive Edge-Preserving Smoothing and Detail Enhancement for H.263 and H.264 Video." In Intelligent Image and Video Interpretation: Algorithms and Applications, edited by Jing Tian and Li Chen, 139-164. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3958-4.ch005

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Abstract

For removing undesirable artifacts in video coding, a large number of filtering methods have been proposed as post-processing and in-loop processing. This chapter proposes a pre-processing method of motion-adaptive edge-preserving smoothing and detail enhancement for H.263 and H.264 video, in which temporal and spatial edges are used to define Region Of Interest (ROI). In the proposed pre-processing method, trilateral filtering with three types of weights (domain, range, and temporal weights) is used for smoothing non-ROI region while preserving temporal/spatial edges. In the proposed pre-processing method, the temporal weight preserves temporal edges within ROIs and smoothes details within non-ROI. The proposed pre-processing method can make video coding more efficient under the restricted bit-rate condition. The parameter values for weight functions of a trilateral filter are selected depending on the classification of motion and edginess, and proper filtering is performed with adaptive parameter values. Experimental results with a number of H.263 and H.264 test sequences show the effectiveness of the proposed method in terms of the visual quality, the peak signal-to-noise ratio, and the mean opinion score.

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