DocumentCode
1950880
Title
Fast bintree-structured image coder for high subjective quality
Author
Wu, Xiaolin ; Fang, Yonggang
Author_Institution
Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada
fYear
1994
fDate
29-31 Mar 1994
Firstpage
284
Lastpage
293
Abstract
A practical, fast, bintree-structured variable size block image coder is proposed. The inability of current segmentation-based image coding methods using piecewise functional approximation to represent textures is overcome by a generalized BTC encoding of approximation errors in texture areas. This new texture encoding technique significantly enhances subjective image quality at small extra costs to compression ratio and algorithm complexity
Keywords
codecs; computational complexity; data compression; image coding; image segmentation; image texture; tree data structures; algorithm complexity; approximation errors; compression ratio; encoding technique; fast bintree-structured image coder; generalized BTC encoding; image quality; subjective quality; textures; variable size block image coder; Approximation error; Bit rate; Data structures; Discrete cosine transforms; Image coding; Image quality; Image segmentation; Layout; Logic; Silicon carbide;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location
Snowbird, UT
Print_ISBN
0-8186-5637-9
Type
conf
DOI
10.1109/DCC.1994.305936
Filename
305936
Link To Document