Thermal image compression system based on wavelet transform

Yan Ding; Liudi Liu; Yanli Zhong; Weiqi Jin

Thermal image compression system based on wavelet transform

Yan Ding^*
, Liudi Liu
, Yanli Zhong
, Weiqi Jin

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

Wavelet transform is a new branch of mathematics, which is developing rapidly in recent years. Because it gets rid of some defects of Fourier transform. Wavelet analysis method has been paid more and more attention and widely used in various fields of engineering application, especially in image processing. In this paper, after the wavelet pyramidal decomposition of the image, the different quantization and coding schemes for each subimage are then carried out in accordance with its statistical properties and distributed properties of the coefficients. The computer simulation result shows that this compression system can attain good reconstructed image while assuring satisfying compression ratio.

Original language	English
Pages (from-to)	226-231
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3561
Publication status	Published - 1998
Event	Proceedings of the 1998 Conference on Electronic Imaging and Multimedia Systems II - Beijing, China Duration: 18 Sept 1998 → 19 Sept 1998

Cite this

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title = "Thermal image compression system based on wavelet transform",

abstract = "Wavelet transform is a new branch of mathematics, which is developing rapidly in recent years. Because it gets rid of some defects of Fourier transform. Wavelet analysis method has been paid more and more attention and widely used in various fields of engineering application, especially in image processing. In this paper, after the wavelet pyramidal decomposition of the image, the different quantization and coding schemes for each subimage are then carried out in accordance with its statistical properties and distributed properties of the coefficients. The computer simulation result shows that this compression system can attain good reconstructed image while assuring satisfying compression ratio.",

author = "Yan Ding and Liudi Liu and Yanli Zhong and Weiqi Jin",

year = "1998",

language = "English",

volume = "3561",

pages = "226--231",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Proceedings of the 1998 Conference on Electronic Imaging and Multimedia Systems II ; Conference date: 18-09-1998 Through 19-09-1998",

}

TY - JOUR

T1 - Thermal image compression system based on wavelet transform

AU - Ding, Yan

AU - Liu, Liudi

AU - Zhong, Yanli

AU - Jin, Weiqi

PY - 1998

Y1 - 1998

N2 - Wavelet transform is a new branch of mathematics, which is developing rapidly in recent years. Because it gets rid of some defects of Fourier transform. Wavelet analysis method has been paid more and more attention and widely used in various fields of engineering application, especially in image processing. In this paper, after the wavelet pyramidal decomposition of the image, the different quantization and coding schemes for each subimage are then carried out in accordance with its statistical properties and distributed properties of the coefficients. The computer simulation result shows that this compression system can attain good reconstructed image while assuring satisfying compression ratio.

AB - Wavelet transform is a new branch of mathematics, which is developing rapidly in recent years. Because it gets rid of some defects of Fourier transform. Wavelet analysis method has been paid more and more attention and widely used in various fields of engineering application, especially in image processing. In this paper, after the wavelet pyramidal decomposition of the image, the different quantization and coding schemes for each subimage are then carried out in accordance with its statistical properties and distributed properties of the coefficients. The computer simulation result shows that this compression system can attain good reconstructed image while assuring satisfying compression ratio.

UR - https://www.scopus.com/pages/publications/0032315313

M3 - Conference article

AN - SCOPUS:0032315313

SN - 0277-786X

VL - 3561

SP - 226

EP - 231

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Proceedings of the 1998 Conference on Electronic Imaging and Multimedia Systems II

Y2 - 18 September 1998 through 19 September 1998

ER -

Thermal image compression system based on wavelet transform

Abstract

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