Joint wavelet transform correlator with power spectrum subtraction for improved performance

Sheng Zhong; Shutian Liu; Jiuxing Jiang; Chunfei Li

doi:10.1117/1.601505

Joint wavelet transform correlator with power spectrum subtraction for improved performance

Sheng Zhong^*
, Shutian Liu
, Jiuxing Jiang
, Chunfei Li

^*Corresponding author for this work

School of Physics

Harbin Institute of Technology
University of Eastern Finland
Optical Society of America
Harbin Institute of Science and Technology
Physics Department
Chinese Optical Society

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Power spectrum subtraction is introduced into the joint wavelet transform correlator to improve its performance. Because the joint wavelet transform correlator is not a matched recognition, its performance is quite poor when the conventional joint-transform correlator is employed. By subtracting the power spectra of the target image and the reference image, the power spectrum subtraction technique may greatly improve the joint wavelet transform correlator. In comparison with the conventional joint wavelet transform correlator, the new correlator has narrower dc output, bigger space-bandwidth product, stronger wavelet transform output, and greater background-noise resistance. Both theoretical analysis and computer simulation verify its efficiency.

Original language	English
Pages (from-to)	2787-2792
Number of pages	6
Journal	Optical Engineering
Volume	36
Issue number	10
DOIs	https://doi.org/10.1117/1.601505
State	Published - Oct 1997

Keywords

Feature extraction
Joint transform correlator
Power spectrum subtraction
Wavelet transform

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title = "Joint wavelet transform correlator with power spectrum subtraction for improved performance",

abstract = "Power spectrum subtraction is introduced into the joint wavelet transform correlator to improve its performance. Because the joint wavelet transform correlator is not a matched recognition, its performance is quite poor when the conventional joint-transform correlator is employed. By subtracting the power spectra of the target image and the reference image, the power spectrum subtraction technique may greatly improve the joint wavelet transform correlator. In comparison with the conventional joint wavelet transform correlator, the new correlator has narrower dc output, bigger space-bandwidth product, stronger wavelet transform output, and greater background-noise resistance. Both theoretical analysis and computer simulation verify its efficiency.",

keywords = "Feature extraction, Joint transform correlator, Power spectrum subtraction, Wavelet transform",

author = "Sheng Zhong and Shutian Liu and Jiuxing Jiang and Chunfei Li",

year = "1997",

month = oct,

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language = "英语",

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pages = "2787--2792",

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T1 - Joint wavelet transform correlator with power spectrum subtraction for improved performance

AU - Zhong, Sheng

AU - Liu, Shutian

AU - Jiang, Jiuxing

AU - Li, Chunfei

PY - 1997/10

Y1 - 1997/10

N2 - Power spectrum subtraction is introduced into the joint wavelet transform correlator to improve its performance. Because the joint wavelet transform correlator is not a matched recognition, its performance is quite poor when the conventional joint-transform correlator is employed. By subtracting the power spectra of the target image and the reference image, the power spectrum subtraction technique may greatly improve the joint wavelet transform correlator. In comparison with the conventional joint wavelet transform correlator, the new correlator has narrower dc output, bigger space-bandwidth product, stronger wavelet transform output, and greater background-noise resistance. Both theoretical analysis and computer simulation verify its efficiency.

AB - Power spectrum subtraction is introduced into the joint wavelet transform correlator to improve its performance. Because the joint wavelet transform correlator is not a matched recognition, its performance is quite poor when the conventional joint-transform correlator is employed. By subtracting the power spectra of the target image and the reference image, the power spectrum subtraction technique may greatly improve the joint wavelet transform correlator. In comparison with the conventional joint wavelet transform correlator, the new correlator has narrower dc output, bigger space-bandwidth product, stronger wavelet transform output, and greater background-noise resistance. Both theoretical analysis and computer simulation verify its efficiency.

KW - Feature extraction

KW - Joint transform correlator

KW - Power spectrum subtraction

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/4043078186

U2 - 10.1117/1.601505

DO - 10.1117/1.601505

M3 - 文章

AN - SCOPUS:4043078186

SN - 0091-3286

VL - 36

SP - 2787

EP - 2792

JO - Optical Engineering

JF - Optical Engineering

IS - 10

ER -

Joint wavelet transform correlator with power spectrum subtraction for improved performance

Abstract

Keywords

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