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Motion adaptive de-interlacing algorithm with edge-based low-complexity interpolation method

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3 Author(s)
Gong-Zheng He ; Dept. of Electr. Eng., Nat. Chung Hsing Univ., Tai-chung, Taiwan ; Chia-Hao Fang ; Chih-Peng Fan

In this paper, we propose an efficient motion adaptive de-interlacing algorithm with edge-oriented low-complex interpolation (LCI) based methods. The proposed algorithm is composed of the improved 4-field motion detection and three de-interlacing modes, which are the inter-field average, the LCI with the expanded edge detection, and the 3-dimension (3-D) median LCI method. First, the proposed improved 4-field motion detection classifies the interlaced pixel into a static, a motion, or an uncertain status. Second, the corresponding de-interlacing method is applied to interpolate the de-interlaced pixel and it also preserves the original edge information. Simulation results show that our proposed edge-preservation LCI-based method provides better objective and subjective de-interlacing results than the previous non-motion compensated de-interlacing methods. Moreover, it achieves the same visually de-interlacing performance as the motion compensated based methods, which need large complexities for the de-interlacing process.

Published in:

TENCON 2009 - 2009 IEEE Region 10 Conference

Date of Conference:

23-26 Jan. 2009