Experimental Studies on a Compact Storage Scheme for Wavelet-Based Multiresolution Subregion Retrieval
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چکیده
s for papers presented at the the Space and Earth Science Data Compression session that are listed below appear in the DCC ‘96 poster section. Another abstract for this session appears on the following page. “Compression of Aerial Ortho Images Based on Image Denoising” A. Langi and W. Kinsner University of Manitoba and TRLabs, Canada “Global and Local Distortion Inference During Embedded Zerotree Wavelet Decompression” A. K. Huber and S. E. Budge Utah State University “Wavelet Coding for Remote Sensed Data” Z. Rahman Science and Technology Corporation “Phase-preserving Compression of Seismic Image Using the Self-Adjusting Wavelet Transform” H. Guo and C. S. Burrus Rice University “The JPEG Lossless Image Compression Project and Convergence to High Compressibility” X. Wut, N. Memon*, D. Speed, G. Langdont , T. Goodmant , and J. Springt luniversity of Western Ontario, Canada *Northern Illinois University tuniversity of California, Santa Cruz Data Compression Industry Session Ken Whitson, representing the Central Imagery Office, was a session chair and provided an overview of his organization’s data compression objective. Abstracts for the Data Compression Industry session appear on the following pages. Proceedings of the 1996 Data Compression Conference (DCC) 1068-0314/96 $10.00 © 1996 IEEE
منابع مشابه
Experimental Studies on a Compact Storage Scheme
Wavelet transforms, when combined with quantization and a suitable encoding, can be used to compress images eeectively. In order to use them for image library systems, a compact storage scheme for quantized coeecient wavelet data must be developed with a support for fast subregion retrieval. We have designed such a scheme and in this paper we provide experimental studies to demonstrate that it ...
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تاریخ انتشار 1996