DocumentCode
2072228
Title
Very low bit rate image coding using morphological operators and adaptive decompositions
Author
Egger, Olivier ; Li, Wei
Author_Institution
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Volume
2
fYear
1994
fDate
13-16 Nov 1994
Firstpage
326
Abstract
A morphological subband decomposition with perfect reconstruction is proposed. Critical subsampling is achieved. Reconstructed images using this decomposition do not suffer from any ringing effect. In order to avoid poor texture representation by morphological filters an adaptive subband decomposition is introduced. It chooses linear filters on textured regions and morphological filters otherwise. Comparisons to other coding techniques such as JPEG and linear subband coding show that the proposed scheme performs significantly better both in terms of PSNR and visual quality
Keywords
adaptive codes; data compression; image coding; image reconstruction; image representation; image sampling; image segmentation; image texture; mathematical morphology; adaptive decompositions; adaptive subband decomposition; critical subsampling; linear filters; morphological filters; morphological operators; morphological subband decomposition; perfect reconstruction; reconstructed images; ringing effect; texture representation; textured regions; very low bit rate image coding; visual quality; Adaptive filters; Adaptive signal processing; Bit rate; Filter bank; Humans; Image coding; Image reconstruction; Image sampling; Low pass filters; Nonlinear filters;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location
Austin, TX
Print_ISBN
0-8186-6952-7
Type
conf
DOI
10.1109/ICIP.1994.413585
Filename
413585
Link To Document