Lossless grey image compression using a splitting binary tree

Tao Li; Xin Tian; Cheng-Yi Xiong; Yan-Sheng Li; Yun Zhang; Jin-Wen Tian

doi:10.1117/12.2031231

26 October 2013 Lossless grey image compression using a splitting binary tree

Tao Li, Xin Tian, Cheng-Yi Xiong, Yan-Sheng Li, Yun Zhang, Jin-Wen Tian

Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170T (2013) https://doi.org/10.1117/12.2031231
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Tao Li, Xin Tian, Cheng-Yi Xiong, Yan-Sheng Li, Yun Zhang, and Jin-Wen Tian "Lossless grey image compression using a splitting binary tree", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170T (26 October 2013); https://doi.org/10.1117/12.2031231

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KEYWORDS

Image compression

Image transmission

Image processing

JPEG2000

Image storage

Data acquisition

Data modeling

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