Abstract | ||
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This paper presents a motion-compensated deinterlacing algorithm featuring spectrum-adaptive interpolation of interlaced field. Using motion-compensated reference pictures, the proposed spectrum-adaptive filter tactically identifies the baseband via spectrum analysis and removes the replicas of interlaced sampling, making overall algorithm adapt to versatile video scene and different degree of motion compensation scenarios. The experimental results indicate that our proposed algorithm has better objective performance than other motion-compensated and non-motion-compensated algorithms do especially in complex moving textures. The subjective results also support the benefits of our spectrum-adaptive filter. |
Year | DOI | Venue |
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2009 | 10.1109/ISCAS.2009.5117859 | ISCAS |
Keywords | Field | DocType |
motion compensation,interpolation,spectrum-adaptive filter,reference pictures,image sampling,motion-compensated spectrum-adaptive deinterlacing algorithm,image texture,spectrum analysis,spectrum-adaptive interpolation,motion estimation,spectrum,filter bank,layout,adaptive filters,baseband,frequency,adaptive filter | Computer science,Control theory,Filter bank,Interpolation,Motion compensation,Electronic engineering,Adaptive filter,Artificial intelligence,Motion analysis,Motion estimation,Computer vision,Baseband,Deinterlacing,Algorithm | Conference |
ISBN | Citations | PageRank |
978-1-4244-3828-0 | 1 | 0.39 |
References | Authors | |
6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gwo Giun Lee | 1 | 92 | 15.89 |
Ming-Jiun Wang | 2 | 58 | 8.20 |
He-Yuan Lin | 3 | 64 | 9.08 |
Ching-Jui Hsiao | 4 | 339 | 13.17 |