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Proceedings Paper

Reduction of blocking artifacts by adaptive postfiltering of transform coefficients
Author(s): Tao Chen; Hong Ren Wu; Bin Qiu
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Paper Abstract

This paper proposes a novel postprocessing technique for reducing blocking artifacts in low bit rate transform coding. As the quantization is applied to transform coefficients in the encoding, the proposed approach works in the transform domain. Masking effect in the human visual system is considered, and an adaptive weighting mechanism is then integrated into the postfiltering. In low activity areas, since the blocking artifacts appear to be perceptually more detectable, a large window is used to efficiently smooth out the artifacts. In order to preserve image details, a small neighborhood and a large central weight are employed for processing those high activity blocks, where the blocking artifacts are less noticeable due to the masking of local background. The quantization constraint is finally applied to the postfiltered coefficients. Experimental results show that the proposed technique provides superior performance to other postprocessing methods in both objective and subjective image quality.

Paper Details

Date Published: 30 May 2000
PDF: 11 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386619
Show Author Affiliations
Tao Chen, Monash Univ. (Australia)
Hong Ren Wu, Monash Univ. (Australia)
Bin Qiu, Monash Univ. (Australia)

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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