An evaluation method based on absolute difference to validate the performance of SBNUC algorithms

作者：Jin, Minglei; Jin, Weiqi^*; Li, Yiyang; Li, Shuo

来源：Infrared Physics & Technology, 2016, 78: 1-12.

DOI：10.1016/j.infrared.2016.06.009

• Infrared image processing
• Scene-based non-uniformity correction
• Guided image filter
• Absolute difference

Scene-based non-uniformity correction (SBNUC) algorithms are an important part of infrared image processing; however, SBNUC algorithms usually cause two defects: (1) ghosting artifacts and (2) over correction. In this paper, we use the absolute difference based on guided image filter (AD-GF) method to validate the performance of SBNUC algorithms. We obtain a self-separation source using the improved guided image filter to process the input image, and use the self-separation source to obtain the space high-frequency parts of the input image and the corrected image. Finally, we use the absolute difference between the two space-high-frequency parts as the evaluation result. Based on experimental results, the AD-GF method has better robustness and can validate the performance of SBNUC algorithms even if ghosting artifacts or over-correction occur. Also the AD-GF method can measure how SBNUC algorithms perform in the time domain, it's an effective evaluation method for SBNUC algorithm.

• 出版日期2016-9
• 单位北京理工大学