SAR image compression using wavelets

C. Kwan; Baoxin Li; R. Xu; T. Tran; T. Nguyen; J. Hopkins; U. Boston

doi:10.1117/12.421215

SAR image compression using wavelets

C. Kwan, Baoxin Li, R. Xu, T. Tran, T. Nguyen, J. Hopkins, U. Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

Abstract

A new wavelet based image coder is proposed for SAR image compression. The coding technique known as OBTWC (Overlapped Block Transform Wavelet Coder) consists of three steps. First, a set of overlapped block transforms is used to transform the image data into 8×8 blocks in the frequency domain. Second, a mapping is then performed to convert the transformed image into a multiresolution representation that resembles the zero-tree wavelet transform. Third, the multiresolution representation is then coded by a conventional dyadic wavelet coder, which basically truncates the high frequency contents in a very efficient manner. Our proposed method essentially combines the advantages of both block transform and wavelet coding techniques while eliminating their respective weaknesses. The image compression algorithm was applied to SAR images supplied by Air Force, Army, and NASA. The compression performance in terms of Peak Signal-to-Noise Ratio is better than that of a commercial wavelet coder in the market.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	H.H. Szu, D.L. Donoho, A.W. Lohmann, W.J. Campbell, J.R. Bussy
Pages	349-357
Number of pages	9
Volume	4391
DOIs	https://doi.org/10.1117/12.421215
State	Published - 2001
Externally published	Yes
Event	Wavelet Applications VIII - Orlando, FL, United States Duration: Apr 18 2001 → Apr 20 2001

Other

Other	Wavelet Applications VIII
Country/Territory	United States
City	Orlando, FL
Period	4/18/01 → 4/20/01

ASJC Scopus subject areas

Electrical and Electronic Engineering
Condensed Matter Physics

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10.1117/12.421215

Cite this

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title = "SAR image compression using wavelets",

abstract = "A new wavelet based image coder is proposed for SAR image compression. The coding technique known as OBTWC (Overlapped Block Transform Wavelet Coder) consists of three steps. First, a set of overlapped block transforms is used to transform the image data into 8×8 blocks in the frequency domain. Second, a mapping is then performed to convert the transformed image into a multiresolution representation that resembles the zero-tree wavelet transform. Third, the multiresolution representation is then coded by a conventional dyadic wavelet coder, which basically truncates the high frequency contents in a very efficient manner. Our proposed method essentially combines the advantages of both block transform and wavelet coding techniques while eliminating their respective weaknesses. The image compression algorithm was applied to SAR images supplied by Air Force, Army, and NASA. The compression performance in terms of Peak Signal-to-Noise Ratio is better than that of a commercial wavelet coder in the market.",

author = "C. Kwan and Baoxin Li and R. Xu and T. Tran and T. Nguyen and J. Hopkins and U. Boston",

year = "2001",

doi = "10.1117/12.421215",

language = "English (US)",

volume = "4391",

pages = "349--357",

editor = "H.H. Szu and D.L. Donoho and A.W. Lohmann and W.J. Campbell and J.R. Bussy",

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

note = "Wavelet Applications VIII ; Conference date: 18-04-2001 Through 20-04-2001",

}

TY - GEN

T1 - SAR image compression using wavelets

AU - Kwan, C.

AU - Li, Baoxin

AU - Xu, R.

AU - Tran, T.

AU - Nguyen, T.

AU - Hopkins, J.

AU - Boston, U.

PY - 2001

Y1 - 2001

N2 - A new wavelet based image coder is proposed for SAR image compression. The coding technique known as OBTWC (Overlapped Block Transform Wavelet Coder) consists of three steps. First, a set of overlapped block transforms is used to transform the image data into 8×8 blocks in the frequency domain. Second, a mapping is then performed to convert the transformed image into a multiresolution representation that resembles the zero-tree wavelet transform. Third, the multiresolution representation is then coded by a conventional dyadic wavelet coder, which basically truncates the high frequency contents in a very efficient manner. Our proposed method essentially combines the advantages of both block transform and wavelet coding techniques while eliminating their respective weaknesses. The image compression algorithm was applied to SAR images supplied by Air Force, Army, and NASA. The compression performance in terms of Peak Signal-to-Noise Ratio is better than that of a commercial wavelet coder in the market.

AB - A new wavelet based image coder is proposed for SAR image compression. The coding technique known as OBTWC (Overlapped Block Transform Wavelet Coder) consists of three steps. First, a set of overlapped block transforms is used to transform the image data into 8×8 blocks in the frequency domain. Second, a mapping is then performed to convert the transformed image into a multiresolution representation that resembles the zero-tree wavelet transform. Third, the multiresolution representation is then coded by a conventional dyadic wavelet coder, which basically truncates the high frequency contents in a very efficient manner. Our proposed method essentially combines the advantages of both block transform and wavelet coding techniques while eliminating their respective weaknesses. The image compression algorithm was applied to SAR images supplied by Air Force, Army, and NASA. The compression performance in terms of Peak Signal-to-Noise Ratio is better than that of a commercial wavelet coder in the market.

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DO - 10.1117/12.421215

M3 - Conference contribution

AN - SCOPUS:0034942792

VL - 4391

SP - 349

EP - 357

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

A2 - Szu, H.H.

A2 - Donoho, D.L.

A2 - Lohmann, A.W.

A2 - Campbell, W.J.

A2 - Bussy, J.R.

T2 - Wavelet Applications VIII

Y2 - 18 April 2001 through 20 April 2001

ER -

SAR image compression using wavelets

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