The Edge-Based Motion Vector Processing Based on Variable Weighted Vector Median Filter 


Vol. 35,  No. 11, pp. 940-947, Nov.  2010


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  Abstract

Motion Compensated Frame Interpolation(MCFI) has been used to reduce motion jerkiness for dynamic scenes and motion blurriness for LCD-panel display as post processing for high quality display. However, MCFI that directly uses the motion information often suffers from annoying artifacts such as blockiness, ghost effects, and deformed structures. So in this paper, we propose a novel edge-based adaptively weighted vector median filter as post-processing. At first, the proposed method generates an edge direction map through a sobel mask and a weighted maximum frequent filter. And then, outlier MVs are removed by average of angle difference and replaced by a median MV of 3×3 window. Finally, weighted vector median filter adjusts the weighting values based on edge direction derived from spatial coherence between the edge direction continuity and motion vector. The results show that the performance of PSNR and SSIM are higher up to 0.5 ~ 1 ㏈ and 0.4 ~ 0.8 %, respectively.

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  Cite this article

[IEEE Style]

J. H. Park, Y. Kim, S. Hong, "The Edge-Based Motion Vector Processing Based on Variable Weighted Vector Median Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 11, pp. 940-947, 2010. DOI: .

[ACM Style]

Ju Hyun Park, Young-Chul Kim, and Sung-Hoon Hong. 2010. The Edge-Based Motion Vector Processing Based on Variable Weighted Vector Median Filter. The Journal of Korean Institute of Communications and Information Sciences, 35, 11, (2010), 940-947. DOI: .

[KICS Style]

Ju Hyun Park, Young-Chul Kim, Sung-Hoon Hong, "The Edge-Based Motion Vector Processing Based on Variable Weighted Vector Median Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 11, pp. 940-947, 11. 2010.