DocumentCode :
2521473
Title :
Image restoration of infrared focal plane array
Author :
Hou, Liwei ; Xie, Wei ; Chen, Fansheng ; Pan, Ming
Author_Institution :
Shanghai Inst. of Tech. Phys., China Acad. of Sci., Shanghai, China
fYear :
2010
fDate :
9-11 April 2010
Firstpage :
296
Lastpage :
299
Abstract :
Imaging system mentioned in this work is made up of a cryogenic infrared focal array (IR FPA). Images acquired from such system always have degradations due to diffraction and aberration in the optical system, atmospheric degradation source, relative motion between the camera and the original scene, integral sampling of the detector arrays, defocusing and so on. Restoration is essential to an infrared imaging system. The degradation model based on a convolution product is presented, and a restoration method based on a modified Wiener filter is proposed. Newton-Raphson method is used in the optimal parameter search procedure. The model is based on the uniform detectors assumption, but in practical applications such assumption cannot be satisfied. So a pre-process is needed to correct the nonuniformity to meet the assumption. Blind pixels compensation is also included in the pre-process procedure. Moreover, to avoid the ringing that may be created by Wiener filter, a boundary expansion method is applied before restoration procedure. To assess the restoration effect, we select image definition as the measurement criteria, and the calculation results show that the restored images have much higher definition than the degraded image. The restoration procedure is applied to an Oriental Pearl infrared image.
Keywords :
Newton-Raphson method; Wiener filters; convolution; focal planes; image restoration; infrared imaging; Newton-Raphson method; atmospheric degradation source; blind pixels compensation; boundary expansion method; convolution product; cryogenic infrared focal array; degradation model; image restoration; infrared focal plane array; infrared imaging system; modified Wiener filter; optimal parameter search procedure; oriental pearl infrared image; restoration method; uniform detectors assumption; Cameras; Cryogenics; Degradation; Image restoration; Infrared imaging; Optical arrays; Optical diffraction; Optical filters; Optical imaging; Wiener filter; Image restoration; Newton-Raphson method; Wiener filter; infrared focal plane array; module transfer function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4244-5554-6
Electronic_ISBN :
978-1-4244-5556-0
Type :
conf
DOI :
10.1109/IASP.2010.5476111
Filename :
5476111
Link To Document :
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