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Proceedings Paper

Curvelet transform and its application in image retrieval
Author(s): Lin Ni; Hong Chao Leng
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Paper Abstract

According to the definition of a curvelet, it is more suitable for image processing than the wavelet and able to represent both smooth and edge parts of image with sparsity. In addition, the representation contains more directional information. The primary experimental results available at present show its potential in image processing. In this paper, we first introduce the concept of curved transform. Then, we propose an image retrieval scheme based on curvelet transform. The experimental results and relevant conclusion are given finally.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539906
Show Author Affiliations
Lin Ni, Univ. of Science and Technology of China (China)
Hong Chao Leng, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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