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Proceedings Paper

Image deblocking using spatially adaptive wavelet thresholding
Author(s): Yuttapong Rangsanseri; Punya Thitimajshima; Siriporn Dachasilaruk
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Paper Abstract

Low bit rate image coding is essential for many visual communication applications. However, it yields visually annoying artifacts that highly degrade the perceptual quality of image data. In this paper we proposed a novel method for reducing the blocking artifact that occurs when using DCT image coding at low bit rates. The blocking artifact has varied visibility in different region, that it, it is more visible in a smooth region than detailed region such as textures and edges. Hence, the proposed method is based on image segmentation and then thresholding the coefficients of different regions with adaptive thresholds. The proposed method gives consistent improvement over the previous methods for deblocking in term of peak signal-to- noise ratio, edge variance, and visual quality.

Paper Details

Date Published: 30 May 2000
PDF: 7 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386669
Show Author Affiliations
Yuttapong Rangsanseri, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Siriporn Dachasilaruk, King Mongkut's Institute of Technology Ladkrabang (Thailand)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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