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Lossless image compression using a simple prediction method
Author(s) -
DawsonHowe Kenneth M.
Publication year - 1996
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(199623)7:3<227::aid-ima10>3.0.co;2-w
Subject(s) - lossless compression , image compression , computer science , algorithm , simple (philosophy) , compression (physics) , lossy compression , image (mathematics) , data compression ratio , encoding (memory) , data compression , exponential function , artificial intelligence , mathematics , image processing , mathematical analysis , philosophy , materials science , epistemology , composite material
This article describes a new straightforward technique for lossless image compression, entitled simple prediction method, which results in compression ratios similar to those achieved by the most powerful techniques described in the literature. The predictive model used by the method is one in which the current point is predicted as a weighted average of the preceding neighbouring points. The weights for this mask are encoded within the compressed image. The difference between this prediction and the actual value is generally small with a symmetric exponential distribution, and this difference is represented using arithmetic encoding. © 1996 John Wiley & Sons, Inc.