Paper
19 January 2006 Resolution scalable SPIHT (RS-SPIHT)
Dayanand Choundappan, Paul Salama, Maher Rizkalla, Mohamed El-Sharkawy
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771W (2006) https://doi.org/10.1117/12.643250
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dayanand Choundappan, Paul Salama, Maher Rizkalla, and Mohamed El-Sharkawy "Resolution scalable SPIHT (RS-SPIHT)", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771W (19 January 2006); https://doi.org/10.1117/12.643250
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KEYWORDS
Image resolution

JPEG2000

Signal to noise ratio

Image quality

Lithium

Laser induced plasma spectroscopy

Image compression

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