Paper
6 November 2023 An adaptive infrared scene correction algorithm based on neighborhood offset update
Author Affiliations +
Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 1292128 (2023) https://doi.org/10.1117/12.2689353
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia
Abstract
The infrared imaging system needs non-uniformity correction due to problems such as detector manufacturing process. The traditional correction method based on reference source will interrupt the imaging process. The scene-based correction method uses the algorithm to perform real-time non-uniformity correction update on the image data. The image transmission process will not be interrupted, but the ghost problem is always difficult to be solved. This paper analyzes the causes of ghosting in traditional scene correction algorithms and proposes an adaptive infrared scene correction algorithm based on neighborhood bias update. The algorithm uses the gray value of image pixels in adjacent frames to perform inter-frame motion estimation to avoid the ghosting problem caused by insufficient scene motion in the iterative process of the algorithm. The scene correction algorithm based on neighborhood bias update corrects the non-uniformity of the image. The experimental results show that the algorithm proposed in this paper has good convergence, and can avoid the generation of ghosts and effectively improve the image quality.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bangfan Liao, Bo Yang, Peng Ge, Junbo Su, Guimei Zhao, Peiqi Fan, Peng Zhang, Fei Wang, Gen Li, and Wenqing Hong "An adaptive infrared scene correction algorithm based on neighborhood offset update", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 1292128 (6 November 2023); https://doi.org/10.1117/12.2689353
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KEYWORDS
Image processing

Infrared imaging

Infrared radiation

Imaging systems

Detection and tracking algorithms

Image quality

Nonuniformity corrections

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