Elimination Of Cmos Fixed Pattern Noise Based On Pca Wavelet Transform

SEVENTH SYMPOSIUM ON NOVEL PHOTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS(2021)

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摘要
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.
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关键词
FPN, optimization, wavelet, principal component analysis, low rank
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