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
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;
Conference_Titel :
Data Compression Conference, 1994. DCC '94. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-5637-9
DOI :
10.1109/DCC.1994.305936
