Reduction of Dynamic False Contours based on Gray Level Selection method in PDP 


Vol. 30,  No. 7, pp. 716-725, Jul.  2005


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  Abstract

In this paper, we propose a new approach for the reduction of the dynamic false contours, which detects and compensates false contour artifacts adaptively. First, we develop a simple but effective method to select the pixels that are likely to cause the motion artifacts, based on the distribution of pixel values. Then, we merge the selected pixels into several regions using tree structure. Next, we reduce number of gray levels within the regions slightly to reduce the false contours. Note that reducing number of gray levels yield the distortion, thus it is applied only to the selected regions, instead of the whole picture. Intensive simulations on real moving image show that the proposed algorithm alleviates the dynamic false contours effectively with tolerable computational complexity.

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  Cite this article

[IEEE Style]

S. Ahn, Y. Eo, S. Lee, "Reduction of Dynamic False Contours based on Gray Level Selection method in PDP," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 7, pp. 716-725, 2005. DOI: .

[ACM Style]

Sang-Jun Ahn, Yoon-Phil Eo, and Sang-Uk Lee. 2005. Reduction of Dynamic False Contours based on Gray Level Selection method in PDP. The Journal of Korean Institute of Communications and Information Sciences, 30, 7, (2005), 716-725. DOI: .

[KICS Style]

Sang-Jun Ahn, Yoon-Phil Eo, Sang-Uk Lee, "Reduction of Dynamic False Contours based on Gray Level Selection method in PDP," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 7, pp. 716-725, 7. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880