DocumentCode :
1243781
Title :
High compression image coding using an adaptive morphological subband decomposition
Author :
Egger, Oliver ; Li, Wei ; Kunt, Murat
Author_Institution :
Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Volume :
83
Issue :
2
fYear :
1995
fDate :
2/1/1995 12:00:00 AM
Firstpage :
272
Lastpage :
287
Abstract :
A morphological subband decomposition with perfect reconstruction is proposed. Critical subsampling is achieved. The reconstructed images using this decomposition do not suffer from any ringing effect. In order to avoid poor texture representation by the morphological filters an adaptive subband decomposition is introduced. It chooses linear filters on textured regions and morphological filters otherwise. A simple and efficient texture detection criterion is proposed and applied to the adaptive decomposition. 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 filters; adaptive signal detection; adaptive signal processing; filtering theory; image coding; image reconstruction; image sampling; image texture; mathematical morphology; JPEG coding; PSNR; adaptive morphological subband decomposition; image coding; image compression; linear filters; linear subband coding; morphological filters; perfect reconstruction; subsampling; texture detection criterion; texture representation; textured regions; visual quality; Adaptive filters; Ear; Filter bank; Humans; Image coding; Image reconstruction; Multiresolution analysis; Nonlinear filters; PSNR; Transform coding;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.364462
Filename :
364462
Link To Document :
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