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Proceedings Paper

Image compression: wavelet-type transform along generalized scan
Author(s): Ahmad C. Ansari; Izidor Gertner; Yehoshua Y. Zeevi; Martin E. Tanenhaus
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Paper Abstract

An efficient method for visual data compression is presented, combining generalized Peano Scan, wavelet decomposition and adaptive sub-band coding technique. The Peano Scan which is an application of the Peano curve to the scanning of images, is incorporated with the encoding scheme in order to cluster highly correlated pixels. Using wavelet decomposition, an adaptive sub-band coding technique is developed to encode each sub-band separately with an optimum algorithm. Discrete Cosine Transform (DCT) is applied on the low spatial frequency sub-band, and high spatial frequency sub-bands are encoded using Run Length encoding technique.

Paper Details

Date Published: 12 May 1992
PDF: 9 pages
Proc. SPIE 1630, Synthetic Aperture Radar, (12 May 1992); doi: 10.1117/12.59011
Show Author Affiliations
Ahmad C. Ansari, Rutgers Univ. (United States)
Izidor Gertner, Rutgers Univ. (United States)
Yehoshua Y. Zeevi, Rutgers Univ. (United States)
Martin E. Tanenhaus, Martin Marietta Electronic Systems (United States)


Published in SPIE Proceedings Vol. 1630:
Synthetic Aperture Radar
Richard D. McCoy; Martin E. Tanenhaus, Editor(s)

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