Title :
Directional interpolation pyramids for still image compression
Author :
Boulgouris, Nikolaos V. ; Strintzis, Michael G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
Abstract :
Reduced pyramids, i.e. pyramids without analysis filters are known to produce excellent results when used for lossless signal and image compression. The paper introduces a novel method for the construction of reduced pyramids with synthesis filters adapted to the orientation of local image features. It is shown that this construction produces more accurate interpolation than conventional reduced pyramids. It also has the added advantage of producing lossy replicas of the original, which, at lower resolutions lack undesirable artifacts near edges. Experimental evaluation shows that the resulting method produces results comparable and often superior to those of the most efficient known algorithms for progressive lossless image coding
Keywords :
data compression; image coding; interpolation; algorithms; artifacts; directional interpolation pyramids; local image feature orientation; lossless image compression; lossless signal compression; lossy replicas; progressive lossless image coding; reduced pyramids; still image compression; synthesis filters; Filters; Image analysis; Image coding; Image communication; Image reconstruction; Image resolution; Image storage; Interpolation; Propagation losses; Signal resolution;
Conference_Titel :
Computer Graphics, Image Processing, and Vision, 1998. Proceedings. SIBGRAPI '98. International Symposium on
Conference_Location :
Rio de Janeiro
Print_ISBN :
0-8186-9215-4
DOI :
10.1109/SIBGRA.1998.722749