TY  - JOUR
AU  - López Alonso, José Manuel
AU  - Alda, Javier
AU  - Bernabeu Martínez, Eusebio
PY  - 2002
DO  - 10.1364/AO.41.000320
SN  - 1559-128X
UR  - https://hdl.handle.net/20.500.14352/59218
T2  - Applied Optics
AB  - Principal-component decomposition is applied to the analysis of noise for infrared images. It provides a set of eigenimages, the principal components, that represents spatial patterns associated with different types of noise. We provide a method to...
LA  - eng
M2  - 320
PB  - The Optical Society Of America
KW  - Optics
TI  - Principal-component characterization of noise for infrared images
TY  - journal article
VL  - 41
ER  -