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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chongliang Liu Weiqi Jin Yan Chen Bin Liu Yang Cao Xiu Liu |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing Institute of Technology Beijing, China (Chongliang Liu; Weiqi Jin; Yan Chen; Bin Liu; Yang Cao; Xiu Liu) |
| Abstract | Nonuniformity correction plays an important role in improving image quality of the infrared focal plane array. A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim is proposed in this paper. With the help of perimeter blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based on the scene information and shift between adjacent frames, a special algebraic algorithm is proposed to transport correction parameters from perimeter detectors to those interior un-corrected ones. In this way, the correction parameters of the whole field of view (FOV) are calculated. All calculations are algebraic, with a low computation load. This algorithm can realize adaptive two-point correction without covering the central FOV rapidly. It proves to get a satisfying correction effect after being tested by using real infrared images. |
| Starting Page | 240 |
| Ending Page | 245 |
| File Size | 573046 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424476398 |
| e-ISBN | 9781424476404 |
| DOI | 10.1109/COMPSYM.2010.5685510 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-16 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Interpolation Scene-based Perimeter blackbody Nonuniformity correction Infrared focal plane array Imaging Detectors Image sequences Arrays Pixel |
| Content Type | Text |
| Resource Type | Article |
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