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Scene-based Nonuniformity Correction for Neural Network Complemented by Reducing Lense Vignetting Effect and Adaptive Learning rate
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논문 기본 정보

Type
Academic journal
Author
Gun-hyo No (LIG Nex1) Yong-hee Hong (LIG Nex1) Jin-ho Park (LIG Nex1) Ho-jin Jhee (LIG Nex1)
Journal
The Korean Society Of Computer And Information Journal of the Korea Society of Computer and Information Vol.23 No.7(Wn.172) KCI Accredited Journals
Published
2018.7
Pages
81 - 90 (10page)

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Scene-based Nonuniformity Correction for Neural Network Complemented by Reducing Lense Vignetting Effect and Adaptive Learning rate
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Abstract· Keywords

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In this paper, reducing lense Vignetting effect and adaptive learning rate method are proposed to complement Scribner’s neural network for nuc algorithm which is the effective algorithm in statistic SBNUC algorithm. Proposed reducing vignetting effect method is updated weight and bias each differently using different cost function. Proposed adaptive learning rate for updating weight and bias is using sobel edge detection method, which has good result for boundary condition of image. The ordinary statistic SBNUC algorithm has problem to compensate lense vignetting effect, because statistic algorithm is updated weight and bias by using gradient descent method, so it should not be effective for global weight problem same like, lense vignetting effect.
We employ the proposed methods to Scribner’s neural network method(NNM) and Torres’s reducing ghosting correction for neural network nuc algorithm(improved NNM), and apply it to real-infrared detector image stream. The result of proposed algorithm shows that it has 10dB higher PSNR and 1.5 times faster convergence speed then the improved NNM Algorithm.
#SBNUC #improved NNM #Neural Network #statistic #scene based nonuniformity correction

Contents

Abstract
I. Introduction
II. Preliminaries
III. improved NNM SBNUC
IV. The Proposed Scheme
V. Conclusions
REFERENCES

References (16)

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[학술지(정기간행물)] - D.A. Scribner / 1991 / Infrared focal plane array technology / Proceedings of the IEEE 79 (1) : 66 ~ 85 Crossref [학술지(정기간행물)] - Abraham Friedenberg / 1998 / Nonuniformity two-point linear correction errors in infrared focal plane arrays / Optical Engineering 37 (4) : 1251 ~ google schola [학술대회논문] - Meng Sheng / 2011 / Calibration-based NUC Method in Real time Based on IRFPA / 2011 International Conference on Physics Science and Technology 22 : 372 ~ 380 google schola [학술대회논문] - D.A.Scribner / 1993 / Adaptive retina-like preprocessing for imaging detector arrays / Proceedings of the IEEE International Conference on Neural Network (Institute of Electrical and Electronics Engineers : 1955 ~ 1960 google schola [학술지(정기간행물)] - In-Seob Song / 1999 / Digital implementation of scene-based non-uniformity correction for microscan-mode infrared cameras / Electronics Letters 35 (13) : 1068 ~ Crossref

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UCI(KEPA) : I410-ECN-0101-2018-004-003361130