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Proceedings Paper

Research on applications of optical wavelet transform in high-speed photograph
Author(s): Tao Wang; Dongmei Li; Chunkuang Tao; Haiquan Shi
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Paper Abstract

Image and data are always needed to be processed and analyzed at real time during high-speed photograph, so high processing speed is required. As the optical wavelet transform utilizes the parallel computation of optical elements, it has a high transform speed. Hence it can be used for image processing and analysis during high-speed photograph. The light-path structure and principle of optical wavelet transform is introduced in this paper. It is realized by using 4f optical information processing system. And the methods for realizing pattern recognition, image feature extraction, image edge enhancement etc. are given. Specially, the requirements on light source, light-path structure, optical elements and filter of optical system are analyzed when optical wavelet transform is used for image compression. And some improved measurements are put forward according to present problems. Firstly, the merits of using white light information processing system for image compression is analyzed. Secondly, adopt liquid crystal light valve and spatial light modulator to strengthen flexibility and practicability. Thirdly, the method of determining focuses of lens and how to use Talbot effect to locate the object plane and spectrum plane are given. Finally, the use of reflecting 4f system is put forward to decrease chromatic aberration and noise in optical wavelet transform. And we have obtained some experimental results which are good for further research.

Paper Details

Date Published: 29 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62794P (29 January 2007); doi: 10.1117/12.725438
Show Author Affiliations
Tao Wang, Chongqing Univ. (China)
Dongmei Li, Chongqing Univ. (China)
Chunkuang Tao, Chongqing Univ. (China)
Haiquan Shi, Chongqing Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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