Abstract | ||
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We propose a fast texture synthesis algorithm based on wavelet packet transform. It decomposes the input image into wavelet packet coefficients, then a 2-step matching, specifically coarse matching based on low frequency wavelet packet coefficients followed by fine matching based on high frequency wavelet packet coefficients, is used for the texture synthesis task. Experimental results show that the proposed algorithm is preferable in terms of computation time. |
Year | Venue | Keywords |
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2012 | ICPR | low frequency wavelet packet coefficients-based coarse matching,image matching,wavelet transforms,texture synthesis task,computation time,wavelet packet transform-based fast texture synthesis algorithm,2-step matching,fast wavelet-packet-based algorithm,image texture |
Field | DocType | ISSN |
Harmonic wavelet transform,Computer science,Artificial intelligence,Discrete wavelet transform,Wavelet packet decomposition,Wavelet,Wavelet transform,Computer vision,Pattern recognition,Algorithm,Second-generation wavelet transform,Cascade algorithm,Stationary wavelet transform | Conference | 1051-4651 |
ISBN | Citations | PageRank |
978-1-4673-2216-4 | 0 | 0.34 |
References | Authors | |
7 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hsi-Chin Hsin | 1 | 73 | 12.34 |
Tze-yun Sung | 2 | 49 | 10.67 |
Lu-Ting Ko | 3 | 15 | 1.28 |