Hybrid image compression model based on subband coding and edge-preservingregularisation

Authors
Citation
Sw. Hong et P. Bao, Hybrid image compression model based on subband coding and edge-preservingregularisation, IEE P-VIS I, 147(1), 2000, pp. 16-22
Citations number
18
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING
ISSN journal
1350-245X → ACNP
Volume
147
Issue
1
Year of publication
2000
Pages
16 - 22
Database
ISI
SICI code
1350-245X(200002)147:1<16:HICMBO>2.0.ZU;2-4
Abstract
An edge-preserving image compression model is presented based on subband co ding and iterative constrained least square regularisation. The idea is to incorporate the technique of image restoration into the current lossy image compression schemes. The model utilises the edge information extracted fro m the source image as a priori knowledge for the subsequent reconstruction. Generally, the extracted edge information has a limited range of magnitude s and it can be lossily conveyed. Subband coding, one of the outstanding lo ssy image compression schemes, is incorporated to compress the source image . Vector quantisation, a block-based lossy compression technique, is employ ed to compromise the bit rate incurred by the additional edge information a nd the target bit rate. Experiments show that the approach could significan tly improve both the objective and subjective quality of the reconstructed image by preserving more edge details. Specifically, the model incorporated with SPIHT (set partitioning in hierarchical trees) outperformed the origi nal SPIHT with the 'Baboon' continuous-tone test image. In general, the mod el may be applied to any lossy image compression systems.