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
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