DocumentCode :
430491
Title :
Structurally regular biorthogonal filter banks: theory, designs, and applications
Author :
Chen, Ying-Jui ; Oraintara, Soontorn ; Amaratunga, Kevin S.
Author_Institution :
Intelligent Eng. Syst. Lab., MIT, Cambridge, MA, USA
Volume :
1
fYear :
2004
fDate :
26-29 Oct. 2004
Firstpage :
184
Abstract :
The paper studies how regularity of a desired degree can be imposed onto the dyadic-based building blocks of a class of M-channel (M ≥ 2) causal biorthogonal filter banks (BOFBs) having anti-causal inverses, without necessarily constraining the phase responses of the filters. Structural conditions for regularity are derived in terms of the elements of the dyadic-based building blocks, and regular BOFBs are designed accordingly and evaluated using a transform-based image coder. They are found to provide better objective performance and improved perceptual quality of the decompressed images, with reduced blocking artifacts and better preserved texture details.
Keywords :
causality; channel bank filters; data compression; filtering theory; image coding; image texture; matrix algebra; transform coding; anticausal inverses; biorthogonal filter banks; blocking artifacts; causal filter banks; decompressed images; dyadic-based building blocks; image compression; phase response; polyphase matrices; preserved texture details; structurally regular filter banks; transform-based image coder; Channel bank filters; Filtering theory; Frequency; Image coding; Image reconstruction; Intelligent systems; Laboratories; Signal synthesis; Systems engineering and theory; Uniform resource locators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8593-4
Type :
conf
DOI :
10.1109/ISCIT.2004.1412475
Filename :
1412475
Link To Document :
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