Title :
Comparison of different image subband coding methods at low bit rates
Author :
Zhang, Weixing ; Fischer, Thomas R.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
Two image subband coding methods are introduced as combinations of trellis-coded quantization (TCQ) with zerotree and stack-run coding. These TCQ-based image coding algorithms are compared, at low bit rates, with the set partitioning in hierarchical trees and stack-run scalar quantization-based image coding algorithms. Direct use of TCQ with zerotree or stack-run coding methods is found to provide little or no improvement in rate-distortion performance compared to scalar quantization
Keywords :
arithmetic codes; image coding; quantisation (signal); rate distortion theory; trellis codes; TCQ; arithmetic coding; hierarchical trees; image coding algorithms; image subband coding methods; low bit rates; objective measure; rate-distortion performance; set partitioning; set partitioning in hierarchical trees; stack-run coding; stack-run scalar quantization; subjective measure; trellis-coded quantization; zerotree coding; Algorithm design and analysis; Arithmetic; Bit rate; Computer science; Encoding; Image coding; Partitioning algorithms; Quantization; Rate-distortion; Tree data structures;
Journal_Title :
Circuits and Systems for Video Technology, IEEE Transactions on