Optical Wavelet Packet Transform
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Abstract
We employ optical wavelet packet transform (OWPT) to propose an opto-electronic system based on volume holography to select the best bases of image banks for image compression, because of the superior processing ability to optical wavelet transform and the potentiality in new application fields. The simulation results show that the best bases chosen are the same as the bases selected by discrete wavelet packet transform (DWPT). Because DWPT is time consuming, especially when the volume of image bank is very large, processing time can be greatly shortened by OWPT.
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Cite this article:
CAI De, YAN Ying-Bai, HUANG Huan, JIN Guo-Fan. Optical Wavelet Packet Transform[J]. Chin. Phys. Lett., 2005, 22(5): 1124-1126.
CAI De, YAN Ying-Bai, HUANG Huan, JIN Guo-Fan. Optical Wavelet Packet Transform[J]. Chin. Phys. Lett., 2005, 22(5): 1124-1126.
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CAI De, YAN Ying-Bai, HUANG Huan, JIN Guo-Fan. Optical Wavelet Packet Transform[J]. Chin. Phys. Lett., 2005, 22(5): 1124-1126.
CAI De, YAN Ying-Bai, HUANG Huan, JIN Guo-Fan. Optical Wavelet Packet Transform[J]. Chin. Phys. Lett., 2005, 22(5): 1124-1126.
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