Title :
Bit-plane compression of high dynamic range SAR imagery
Author :
Ives, Robert W. ; Etter, Delores M. ; Welch, Thad B.
Author_Institution :
ECE Dept., US Naval Acad., Annapolis, MD, USA
Abstract :
The paper describes a technique to compress 16 bit/pixel magnitude or 32 bit/pixel complex synthetic aperture radar (SAR) imagery without loss. The image is divided into its 16 or 32 individual bit-planes and each bit-plane is separately subjected to a raster scan to record the run-lengths of zeros and ones. The run-lengths are then coded using the CCITT Group 3 facsimile standard (a modified Huffman code). Performance is measured by comparing this technique to other lossless image compression techniques, such as JPEG-LS and JPEG-2000.
Keywords :
Huffman codes; data compression; image coding; radar imaging; synthetic aperture radar; CCITT Group 3 facsimile standard; SAR imagery; bit-plane compression; image compression; modified Huffman code; raster scan; synthetic aperture radar imagery; Dynamic range; Energy resolution; Facsimile; Foot; Gray-scale; Image coding; Image resolution; Laboratories; Pixel; Synthetic aperture radar;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197008
