Approach to efficient storage, retrieval, and browsing of large-scale image databases

Norbert K. Strobel; Sanjit K. Mitra; B. S. Manjunath

doi:10.1117/12.227255

21 November 1995 Approach to efficient storage, retrieval, and browsing of large-scale image databases

Norbert K. Strobel, Sanjit K. Mitra, B. S. Manjunath

Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995) https://doi.org/10.1117/12.227255
Event: Photonics East '95, 1995, Philadelphia, PA, United States

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.

Citation Download Citation

Norbert K. Strobel, Sanjit K. Mitra, and B. S. Manjunath "Approach to efficient storage, retrieval, and browsing of large-scale image databases", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995); https://doi.org/10.1117/12.227255

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