Paper
24 November 2009 Research on scene-based Narcissus correction algorithm in infrared focal plane arrays
Yang Cao, Wei-qi Jin, Chong-liang Liu, Xiu Liu, Fu-wen Li, Wei-li Chen
Author Affiliations +
Abstract
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Cao, Wei-qi Jin, Chong-liang Liu, Xiu Liu, Fu-wen Li, and Wei-li Chen "Research on scene-based Narcissus correction algorithm in infrared focal plane arrays", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75131S (24 November 2009); https://doi.org/10.1117/12.837890
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KEYWORDS
Infrared imaging

Imaging systems

Sensors

Infrared radiation

Infrared sensors

Image quality

Image processing

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