Halftone image compression based on probabilistic run length encoding
Abstract
There are proposed run-length encoding algorithms to compress grayscale images lossless and loosy compression taking into account the likelihood of the occurrence of pixel values and providing thereby increasing the compression ratio.
About the Authors
H. K. Al-Bahadily
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
V. Yu. Tsviatkou
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
V. K. Kanapelka
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
References
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5. New Modified RLE Algorithms to Compress Grayscale Images with Lossy and Lossless Compression / H.K. Albahadily [et. al.] // International Journal of Advanced Computer Science and Applications. 2016. Vol. 7, No. 7. P. 250-255.
Review
For citations:
Al-Bahadily H.K., Tsviatkou V.Yu., Kanapelka V.K. Halftone image compression based on probabilistic run length encoding. Doklady BGUIR. 2017;(1):65-70. (In Russ.)
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