Cooled infrared focal plane array (Cooled IRFPA) has been applied widely in military and civil fields. In the cooled focal plane array detector infrared imaging systems, narcissus as a unique defect has a degenerate effect on the image quality of cooled infrared imaging systems, such as blocky, annular or "corner heat" fixed pattern noise in infrared images. Therefore, the correction of narcissus effect using image processing method is important to infrared imaging systems. Through analyzing manifestation of narcissus effect by statistical approach, a cooled infrared imaging system model considering narcissus effect is established, by which a self-adaptive narcissus correction algorithm based on scene statistic and radial compute is presented. From the simulation and the experiment on an actual cooled IRFPA module, this algorithm is proved very effective on correcting narcissus effect and improving image quality. Moreover, the peak signal to noise ratio (PSNR) also increases obviously.

Date Published: 24 November 2009
PDF: 10 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131S (24 November 2009); doi: 10.1117/12.837890

Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)