Research on interpolation algorithm in infrared distortion image correction

Sanhu Tian; Hongxing He; Shugang Chen; Lizhu Kang

doi:10.1117/12.3019568

30 April 2024 Research on interpolation algorithm in infrared distortion image correction

Sanhu Tian, Hongxing He, Shugang Chen, Lizhu Kang

Proceedings Volume 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies; 1315719 (2024) https://doi.org/10.1117/12.3019568
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

In wide-angle camera target detection and tracking systems, distortion correction of infrared images is required. The interpolation algorithm is an important part of distortion correction, and the current interpolation algorithm has certain shortcomings in calculation efficiency and interpolation effect. To solve this situation, an interpolation method based on edge preservation is proposed. This method compares the local standard deviation of the interpolation region with the threshold to determine whether the current interpolation region belongs to a smooth region or an edge region, and uses the neighborhood pixel weighted sum instead and the pixel value in the maximum gradient direction instead. Experiments show that this method can better maintain the high-frequency information in the image, and reduce the calculation amount compared with bicubic interpolation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Sanhu Tian, Hongxing He, Shugang Chen, and Lizhu Kang "Research on interpolation algorithm in infrared distortion image correction", Proc. SPIE 13157, Sixth Conference on Frontiers in Optical Imaging and Technology: Applications of Imaging Technologies, 1315719 (30 April 2024); https://doi.org/10.1117/12.3019568

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KEYWORDS

Interpolation

Distortion

Image processing

Infrared imaging

Infrared radiation

Image restoration

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