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Proceedings Paper

Efficient postprocessing scheme for block-coded images based on multiscale edge detection
Author(s): Shuanhu Wu; Hong Yan; Zheng Tan
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Paper Abstract

The block discrete cosine transform (BDCT) is the most widely used technique for the compression of both still and moving images, a major problem related with the BDCT techniques is that the decoded images, especially at low bit rate, exhibit visually annoying blocking effects. In this paper, based on Mallets multiscale edge detection, we proposed an efficient deblocking algorithm to further improved the coding performance. The advantage of our algorithm is that it can efficiently preserve texture structure in the original decompressed images. Our method is similar to that of Z. Xiong's, where the Z.Xiong's method is not suitable for images with a large portion of texture; for instance, the Barbara Image. The difference of our method and the Z.Xiong's is that our method adopted a new thresholding scheme for multi-scale edge detection instead of exploiting cross-scale correlation for edge detection. Numerical experiment results show that our scheme not only outperforms Z.Xiong's for various images in the case of the same computational complexity, but also preserve texture structure in the decompressed images at the same time. Compared with the best iterative-based method (POCS) reported in the literature, our algorithm can achieve the same peak signal-to-noise ratio (PSNR) improvement and give visually very pleasing images as well.

Paper Details

Date Published: 20 September 2001
PDF: 7 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441519
Show Author Affiliations
Shuanhu Wu, City Univ. of Hong Kong and Xi'an Jiaotong Univ. (Hong Kong)
Hong Yan, City Univ. of Hong Kong and Univ. of Sydney (Hong Kong)
Zheng Tan, Xi'an Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis

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