DocumentCode :
1490098
Title :
Predictive ordering and linear approximation for image data compression
Author :
Neagoe, Victor-Emil
Author_Institution :
Fac. of Electron. & Telecommun., Polytech. Inst. of Bucharest, Romania
Volume :
36
Issue :
10
fYear :
1988
fDate :
10/1/1988 12:00:00 AM
Firstpage :
1179
Lastpage :
1182
Abstract :
A method of efficient image coding called predictive ordering and linear approximation (POLA) is presented. By taking as reference the previously-received scan line, the pixels of the present scan line are placed in order of decreasing amplitudes. The regression line of the ordered pixels is estimated. The linear approximation is refined by computing the one-bit error pattern and by preserving the first two sample moments of the scan line. Simulation results are given showing good image quality at a low bit rate of about 1 bit/pixel
Keywords :
data compression; encoding; picture processing; image coding; image data compression; linear approximation; one-bit error pattern; pixels; predictive ordering; scan line; Approximation algorithms; Bit rate; Computational modeling; Data compression; Image coding; Image quality; Image reconstruction; Linear approximation; Signal processing algorithms; Vectors;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/26.7539
Filename :
7539
Link To Document :
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