Wavelet transform of fixed-pattern noise in focal-plane arrays

Gary A. Hewer; Wei Kuo

doi:10.1117/12.170055

15 March 1994 Wavelet transform of fixed-pattern noise in focal-plane arrays

Gary A. Hewer, Wei Kuo

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170055
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Daubechies wavelets are applied to the fixed pattern noise measured by a 336-by-165 Honeywell uncooled microbolometer infrared sensor and by an Amber AE 4128 128-by-128 indium antimonide (InSb) staring array. The main hypothesis presented in this paper is that Daubechies wavelets are the proper filter for the noise, because they decorrelate the temporal pixel responses on both arrays. These results are an experimental verification of the basic wavelet research of Flandrin with significant additions by Tewfik and Kim.

Citation Download Citation

Gary A. Hewer and Wei Kuo "Wavelet transform of fixed-pattern noise in focal-plane arrays", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170055

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