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논문 기본 정보

자료유형
학술저널
저자정보
Yunfeng Jiang (Army Engineering University of PLA) Dongsheng Wu (Army Engineering University of PLA) Jie Liu (Army Engineering University of PLA) Kuo Tian (Army Engineering University of PLA) Dan Wang (Army Engineering University of PLA)
저널정보
한국광학회 Current Optics and Photonics Current Optics and Photonics Vol.6 No.6
발행연도
2022.12
수록면
608 - 618 (11page)

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초록· 키워드

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By analyzing the signal-to-noise ratio (SNR) theory of the conventional true color night vision system, we found that the output image SNR is limited by the wavelength range of the system response λ₁ and λ₂. Therefore, we built a double-channel four-band true color night vision system to expand the system response to improve the output image SNR. In the meantime, we proposed an image fusion method based on principal component analysis (PCA) and nonsubsampled shearlet transform (NSST) to obtain the true color night vision images. Through experiments, a method based on edge extraction of the targets and spatial dimension decorrelation was proposed to calculate the SNR of the obtained images and we calculated the correlation coefficient (CC) between the edge graphs of obtained and reference images. The results showed that the SNR of the images of four scenes obtained by our system were 125.0%, 145.8%, 86.0% and 51.8% higher, respectively, than that of the conventional tri-band system and CC was also higher, which demonstrated that our system can get true color images with better quality.

목차

I. INTRODUCTION
II. DESIGN OF THE TRUE COLOR NIGHT VISION SYSTEM
III. EXPERIMENTS AND RESULTS
IV. CONCLUSIONS
REFERENCES

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