Tao Zhang,1,2,3 Xinyang Li,1 Jianfeng Li,4 Zhi Xu3
1Institute of Optics and Electronics (China) 2Univ. of Electronic Science and Technology (China) 3Astronomical Technology Lab., Yunnan Observatory (China) 4Univ. of Electronic Science and Technology of China (China)
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
This paper presents an effective fixed pattern noise (FPN) removal method (PCA wavelet method). Compared with the traditional filtering method and statistical method, PCA wavelet method has better denoising effect. Compared with the optimization method, PCA wavelet method has faster processing speed. It is a comprehensive FPN removal method. Compared with the optimization method, this method does not need complicated parameter adjustment process, but has similar denoising effect with the optimization method. This method is very suitable for the engineering application which has certain requirements for calculation speed and denoising effect.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Tao Zhang, Xinyang Li, Jianfeng Li, Zhi Xu, "Elimination of CMOS fixed pattern noise based on PCA wavelet transform," Proc. SPIE 11763, Seventh Symposium on Novel Photoelectronic Detection Technology and Applications, 1176347 (12 March 2021); https://doi.org/10.1117/12.2586899