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Proceedings Paper

Lossless grey image compression using a splitting binary tree
Author(s): Tao Li; Xin Tian; Cheng-Yi Xiong; Yan-Sheng Li; Yun Zhang; Jin-Wen Tian
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Paper Abstract

A multi-layer coding algorithm is proposed for grey image lossless compression. We transform the original image by a set of bases (e.g., wavelets, DCT, and gradient spaces). Then, the transformed image is split into a sub-image set with a binary tree. The set include two parts: major sub-images and minor sub-images, which are coded separately. Experimental results over a common dataset show that the proposed algorithm performs close to JPEG-LS in terms of bitrate. However, we can get a scalable image quality, which is similar to JPEG2000. A suboptimal compressed image can be obtained when the bitstream is truncated by unexpected factors. Our algorithm is quit suitable for image transmission, on internet or on satellites.

Paper Details

Date Published: 26 October 2013
PDF: 6 pages
Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170T (26 October 2013); doi: 10.1117/12.2031231
Show Author Affiliations
Tao Li, Huazhong Univ. of Science and Technology (China)
Xin Tian, Wuhan Univ. (China)
Cheng-Yi Xiong, South-Central Univ. for Nationalities (China)
Yan-Sheng Li, Huazhong Univ. of Science and Technology (China)
Yun Zhang, Huazhong Univ. of Science and Technology (China)
Jin-Wen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8917:
MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jianguo Liu, Editor(s)

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