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Proceedings Paper

Approach to efficient storage, retrieval, and browsing of large-scale image databases
Author(s): Norbert K. Strobel; Sanjit K. Mitra; B. S. Manjunath
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Paper Abstract

This paper suggests a wavelet transform based multiresolution approach as a viable solution to the problems of storage, retrieval and browsing in a large image database. We also investigate the performance of an optimal uniform mean square quantizer in representing all transform coefficients to ensure that the disk space necessary for storing a multiresolution representation does not exceed that of the original image. In addition, popular wavelet filters are compared with respect to their reconstruction performance and computational complexity. We conclude that, for our application, the Haar wavelet filters offer an appropriate compromise between reconstruction performance and computational efforts.

Paper Details

Date Published: 21 November 1995
PDF: 12 pages
Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); doi: 10.1117/12.227255
Show Author Affiliations
Norbert K. Strobel, Univ. of California/Santa Barbara (United States)
Sanjit K. Mitra, Univ. of California/Santa Barbara (United States)
B. S. Manjunath, Univ. of California/Santa Barbara (United States)


Published in SPIE Proceedings Vol. 2606:
Digital Image Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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