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Content Provider | IEEE Xplore Digital Library |
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Author | Jianguo Du Songnan Li Debin Zhao Qian Huang Wen Gao |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Comput. Sci. & Eng., Harbin Inst. of Technol. (Jianguo Du; Songnan Li; Debin Zhao) |
Abstract | In this paper, we propose a novel hybrid de-interlacing algorithm, which effectively combines two motion-compensated (MC) de-interlacing techniques: MC median filtering (MCMF) and adaptive recursive (AR) with one spatial approach: line averaging (LA). Despite of its drawbacks, AR is one of the best methods nowadays. MCMF helps reduce flickers and LA is very robust to erroneous motion vectors. The interpolation switches among these methods based on the proposed measurement of texture smoothness and motion vector (MV) reliability. MCMF is adopted when MV is reliable and texture is rich. LA is used when MV is unreliable and texture is smooth. AR is applied to the remaining regions. Experimental results show that the proposed algorithm is superior to the compared algorithms in terms of peak signal-to-noise ratio (PSNR) and that the de-interlaced videos have very high subjective quality |
Starting Page | 473 |
Ending Page | 476 |
File Size | 417106 |
Page Count | 4 |
File Format | |
ISBN | 1424403667 |
DOI | 10.1109/ICME.2006.262575 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-07-09 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Motion analysis Algorithm design and analysis PSNR Filtering algorithms Adaptive filters Robustness Interpolation Switches Motion measurement Videos |
Content Type | Text |
Resource Type | Article |
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