Study of a Lossless Compression Method of Astronomical Images Using Segmention-based DPCM and 5/3 Integer Wavelet Transformations

Zhu Guifu; Deng Hui; Wang Feng; Ji Kaifan

Astronomical Research and Technology > 2011 > 8(1): 73-80.

Zhu Guifu, Deng Hui, Wang Feng, Ji Kaifan. Study of a Lossless Compression Method of Astronomical Images Using Segmention-based DPCM and 5/3 Integer Wavelet Transformations[J]. Astronomical Research and Technology, 2011, 8(1): 73-80.

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Study of a Lossless Compression Method of Astronomical Images Using Segmention-based DPCM and 5/3 Integer Wavelet Transformations

Key Lab of Applications of Computer Technology of Yunnan, University of Science and Technology of Kunming, Kunming 650051, China

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Received Date: September 26, 2009
Revised Date: March 15, 2010
Published Date: January 14, 2011

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Abstract

Abstract

In order to solve the increasingly outstanding issue of storing massive astronomical image data in devices of limited storage space and low bandwidths,this paper presents a new lossless compression method.In the method a large astronomical image is first segmented,and then successively coded with the Differential Pulse Code Modulation,5/3 Integer Wavelet Transformation,and Huffman algorithm.We first briefly outline the approach of the lossless compression,and then discuss the details of the principle of the method and the implementation of the relevant algorithms.Our experiment indicates that the compression ratio of out method is about 30%,29%,26%,2% higher than those of the Linux tar command,PKZip,WinZip,and WinRar,respectively;it is also much faster than the softwares WinZip and WinRar.In addition,our algorithm has a parallel structure and is easy for hardware implementation.
- Lossless Compression,
- Differential Pulse Code Modulation,
- RITIWT,
- Segmentation,
- Astronomical images

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References (12)

References

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