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Proceedings Paper

Resolution scalable SPIHT (RS-SPIHT)
Author(s): Dayanand Choundappan; Paul Salama; Maher Rizkalla; Mohamed El-Sharkawy
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Paper Abstract

A new embedded rate scalable and resolution scalable, lossless image compression technique based on Highly Scalable - Set Partitioning in Hierarchical Trees (HS-SPIHT) is developed. The new method, called Resolution Scalable-SPIHT (RS-SPIHT), encodes the regions in the next higher resolution that are most likely to be significant along with the current resolution. The advantage of doing so is two fold: (1) the resulting data stream is rate scalable - spatially scalable bit stream, that is at any given data rate the next higher image resolution can be achieved which is not possible using SPIHT, and (2) the largest possible recoverable resolution at a particular date rate has a higher quality than could be previously reached using HS-SPIHT.

Paper Details

Date Published: 19 January 2006
PDF: 12 pages
Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771W (19 January 2006); doi: 10.1117/12.643250
Show Author Affiliations
Dayanand Choundappan, Indiana Univ./Purdue Univ. at Indianapolis (United States)
Paul Salama, Indiana Univ./Purdue Univ. at Indianapolis (United States)
Maher Rizkalla, Indiana Univ./Purdue Univ. at Indianapolis (United States)
Mohamed El-Sharkawy, Indiana Univ./Purdue Univ. at Indianapolis (United States)


Published in SPIE Proceedings Vol. 6077:
Visual Communications and Image Processing 2006
John G. Apostolopoulos; Amir Said, Editor(s)

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