Some Empirical Results of Compressing High Resolution Raster Graphics Images
In this paper, we introduce two simple but effective reversible pre-compression transformations for raster graphics image compressions: horizontal differential and vertical differential. By incorporating the two pre-compression transformations with general purpose compression algorithms such as arithmetic or DLZW compressions, the resulting raster image compression algorithm performs significantly better than the most commonly used lossless image compression method PNG.
Keywords: Raster graphics image, reversible pre-compression transformation, lossless image compression, DLZW compression, arithmetic compression, PNG.
Download Full-Text
ABOUT THE AUTHOR
Chung-E Wang
Professor of Department of Computer Science, California State University, Sacramento
Chung-E Wang
Professor of Department of Computer Science, California State University, Sacramento
