Correction method for stripe nonuniformity in infrared images based on Savitzky-Golay weighted fitting algorithm

Yi Zhou Zhang; Ting Fa Xu; Zi Wei Liu; Zi Yi Shen; Si Qiu Guo

doi:10.3788/CO.20150801.0051

Correction method for stripe nonuniformity in infrared images based on Savitzky-Golay weighted fitting algorithm

Yi Zhou Zhang, Ting Fa Xu^*, Zi Wei Liu, Zi Yi Shen, Si Qiu Guo

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

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

6 Citations (Scopus)

Abstract

With factors such as the nonuniform response of infrared detector units, stripe nonuniformity in images is observed. To solve this problem, a novel correction method to use histogram weighting and Savitzky-Golay filter fitting(HWSG) together is developed. Firstly, the normalized histogram functions of each column are calculated and taken as weights of the stripe image. Secondly, the Savitzky-Golay filter is used to fit the weighted column mean values and variances. The fitting result is put into the correction formula, and then the corrected image is obtained after adjustable parameter iterations. The experimental results demonstrate that the proposed approach is efficient and retains the image spectrum and texture information excellently. A 10% improvement of each evaluation index has been achieved.

Original language	English
Pages (from-to)	51-59
Number of pages	9
Journal	Chinese Optics
Volume	8
Issue number	1
DOIs	https://doi.org/10.3788/CO.20150801.0051
Publication status	Published - 1 Feb 2015

Keywords

Histogram weighting
Infrared imaging detector
Savitzky-Golay filter fitting
Stripe nonuniformity correction

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10.3788/CO.20150801.0051

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title = "Correction method for stripe nonuniformity in infrared images based on Savitzky-Golay weighted fitting algorithm",

abstract = "With factors such as the nonuniform response of infrared detector units, stripe nonuniformity in images is observed. To solve this problem, a novel correction method to use histogram weighting and Savitzky-Golay filter fitting(HWSG) together is developed. Firstly, the normalized histogram functions of each column are calculated and taken as weights of the stripe image. Secondly, the Savitzky-Golay filter is used to fit the weighted column mean values and variances. The fitting result is put into the correction formula, and then the corrected image is obtained after adjustable parameter iterations. The experimental results demonstrate that the proposed approach is efficient and retains the image spectrum and texture information excellently. A 10% improvement of each evaluation index has been achieved.",

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T1 - Correction method for stripe nonuniformity in infrared images based on Savitzky-Golay weighted fitting algorithm

AU - Zhang, Yi Zhou

AU - Xu, Ting Fa

AU - Liu, Zi Wei

AU - Shen, Zi Yi

AU - Guo, Si Qiu

PY - 2015/2/1

Y1 - 2015/2/1

N2 - With factors such as the nonuniform response of infrared detector units, stripe nonuniformity in images is observed. To solve this problem, a novel correction method to use histogram weighting and Savitzky-Golay filter fitting(HWSG) together is developed. Firstly, the normalized histogram functions of each column are calculated and taken as weights of the stripe image. Secondly, the Savitzky-Golay filter is used to fit the weighted column mean values and variances. The fitting result is put into the correction formula, and then the corrected image is obtained after adjustable parameter iterations. The experimental results demonstrate that the proposed approach is efficient and retains the image spectrum and texture information excellently. A 10% improvement of each evaluation index has been achieved.

AB - With factors such as the nonuniform response of infrared detector units, stripe nonuniformity in images is observed. To solve this problem, a novel correction method to use histogram weighting and Savitzky-Golay filter fitting(HWSG) together is developed. Firstly, the normalized histogram functions of each column are calculated and taken as weights of the stripe image. Secondly, the Savitzky-Golay filter is used to fit the weighted column mean values and variances. The fitting result is put into the correction formula, and then the corrected image is obtained after adjustable parameter iterations. The experimental results demonstrate that the proposed approach is efficient and retains the image spectrum and texture information excellently. A 10% improvement of each evaluation index has been achieved.

KW - Histogram weighting

KW - Infrared imaging detector

KW - Savitzky-Golay filter fitting

KW - Stripe nonuniformity correction

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Correction method for stripe nonuniformity in infrared images based on Savitzky-Golay weighted fitting algorithm

Abstract

Keywords

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