Spatially Adaptive Column Fixed-Pattern Noise Correction in Infrared Imaging System Using 1D Horizontal Differential Statistics
In this paper we present a novel non-uniformity correction (NUC) method to remove column fixed-pattern noise (FPN), which is introduced by non-uniformity of on-chip column-parallel readout circuit in uncooled infrared focal plane array. We first define a new image statistic measurement, which is nam...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2017-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8036403/ |
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| Summary: | In this paper we present a novel non-uniformity correction (NUC) method to remove column fixed-pattern noise (FPN), which is introduced by non-uniformity of on-chip column-parallel readout circuit in uncooled infrared focal plane array. We first define a new image statistic measurement, which is named as 1D horizontal differential statistics, to differentiate column FPN from structural edges, and further propose a filtering scheme to adaptively compute noise terms in structure and non-structure regions by applying different correction models. The proposed NUC technique combines the advantages of global- and local-based correction methods, thus can effectively eliminate column FPN without losing original thermal details. The performance of the proposed method is systematically evaluated, and is compared with the state-of-the-art column FPN correction solutions using realistic infrared images. |
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| ISSN: | 1943-0655 |