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Proceedings Paper

Low bit-rate image coding via interpolation oriented adaptive down-sampling
Author(s): Yongbing Zhang; Jian Zhang; Ruiqin Xiong; Debin Zhao; Siwei Ma
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Paper Abstract

An interpolation oriented adaptive down-sampling algorithm is proposed for low bit-rate image coding in this paper. Given an image, the proposed algorithm is able to obtain a low resolution image, from which a high quality image with the same resolution as the input image can be interpolated. Different from the traditional down-sampling algorithms, which are independent from the interpolation process, the proposed down-sampling algorithm hinges the down-sampling to the interpolation process. Consequently, the proposed down-sampling algorithm is able to maintain the original information of the input image to the largest extent. The down-sampled image is then fed into JPEG. A total variation (TV) based post processing is then applied to the decompressed low resolution image. Ultimately, the processed image is interpolated to maintain the original resolution of the input image. Experimental results verify that utilizing the downsampled image by the proposed algorithm, an interpolated image with much higher quality can be achieved. Besides, the proposed algorithm is able to achieve superior performance than JPEG for low bit rate image coding.

Paper Details

Date Published: 4 August 2010
PDF: 7 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77441C (4 August 2010); doi: 10.1117/12.863460
Show Author Affiliations
Yongbing Zhang, Harbin Institute of Technology (China)
Jian Zhang, Harbin Institute of Technology (China)
Ruiqin Xiong, Peking Univ. (China)
Debin Zhao, Harbin Institute of Technology (China)
Siwei Ma, Peking Univ. (China)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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