DocumentCode :
3158090
Title :
Morphological image coding via bit-plane decomposition and a new skeleton representation
Author :
Sapiro, Guillermo ; Malah, David
Author_Institution :
Dept. of Electr. Eng., Technion, Israel Inst. of Technol., Haifa, Israel
fYear :
1991
fDate :
5-7 Mar 1991
Firstpage :
174
Lastpage :
177
Abstract :
The image is processed by an error-diffusion technique to reduce the number of bit-planes without significant quality degradation. The bit-planes of the resulting image are converted to Gray code and represented by a modified morphological skeleton which uses an increasing size structuring element. Redundancy in this representation is reduced with an algorithm motivated by a geometric sampling theorem. These reduced modified morphological skeletons are coded with an entropy coding scheme devised particularly for efficient skeleton coding. A post-processing operation. as well as the possibility of geometric progressive transmission, are also discussed
Keywords :
Huffman codes; computational geometry; data compression; entropy; image coding; mathematical morphology; Gray code; bit-plane decomposition; entropy coding scheme; error-diffusion technique; geometric progressive transmission; geometric sampling theorem; image coding; modified morphological skeleton; post-processing; skeleton coding; Degradation; Entropy coding; Image coding; Image converters; Image reconstruction; Image sampling; Morphological operations; Redundancy; Reflective binary codes; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 1991. Proceedings., 17th Convention of
Conference_Location :
Tel Aviv
Print_ISBN :
0-87942-678-0
Type :
conf
DOI :
10.1109/EEIS.1991.217670
Filename :
217670
Link To Document :
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