Translator Disclaimer
Paper
21 November 1995 Approach to efficient storage, retrieval, and browsing of large-scale image databases
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Image indexing using wavelet vector quantization
Proceedings of SPIE (November 21 1995)
Performance issues in MPEG-4 VTC image coding
Proceedings of SPIE (June 23 2003)
From the DFT to wavelet transforms
Proceedings of SPIE (April 17 2006)

Back to Top