Title :
Application of pseudo-distance to lossless coding of color-mapped images
Author :
Koc, Basar ; Arnavut, Ziya
Author_Institution :
Dept. of Comput. Sci., SUNY Fredonia, Fredonia, NY, USA
Abstract :
Palette images are widely used in many applications, including WWW which occupies an important role in Cloud Computing. Recently, it has been shown that better compression can be obtained when a Huffman coder is used after a color-mapped image is transformed with a pseudo-distance metric. Unlike most of the color-mapped image compression techniques, which require two passes, the pseudo-distance compression technique requires one pass and runs in linear time. In this work, we show that further compression gains can be achieved for color-mapped images when a structured arithmetic coder is used along with the pseudo-distance metric.
Keywords :
Huffman codes; arithmetic codes; cloud computing; data compression; image coding; image colour analysis; Huffman coder; Palette images; WWW; cloud computing; color mapped image; image compression; linear time; lossless coding; pseudodistance compression technique; pseudodistance metric; structured arithmetic coder; Data compression; Image coding; Image color analysis; Indexes; Measurement; Pixel; Sorting; Cloud Computing; Euclidean Distance Transformation; Index-based Images; Lossless Compression; Structured Arithmetic Coder;
Conference_Titel :
System of Systems Engineering (SoSE), 2011 6th International Conference on
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-61284-783-2
DOI :
10.1109/SYSOSE.2011.5966601