Title :
On scanning techniques for lossless image coding with limited context supports
Author :
Memon, Nasir ; Neuhoff, David ; Shende, Sunil
Author_Institution :
Polytech. Univ., Brooklyn, NY, USA
Abstract :
The authors have previously analyzed the performance of context-based lossless image coding techniques in conjunction with the Hilbert and raster scans. The analysis revealed that, under certain reasonable assumptions, the raster scan is indeed better than the Hilbert scan, thereby dispelling the popular notion that using a Hilbert scan would always lead to improved performance. In this paper they apply similar techniques to analyze a random scan as well as a progressive scan (closely based on the commonly used HINT scan). They demonstrate that the progressive scan outperforms the raster scan, but that the expected performance of a random scan is inferior to the other three systematic scans considered so far
Keywords :
data compression; image coding; Hilbert scan; limited context supports; lossless image coding; progressive scan; random scan; raster scan; scanning techniques; Distributed computing; Entropy; Filling; Hilbert space; Image analysis; Image coding; Performance analysis; Performance loss; Pixel; Random variables;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723546