Journal
SENSORS
Volume 18, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/s18124299
Keywords
infrared imaging; stripe nonuniformity; spectral analysis; filtering
Funding
- Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project) [B17035]
- Natural Science Basic Research Plan in Shaanxi Province of China [2017JM6079]
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The presence of stripe nonuniformity severely degrades the image quality and affects the performance in many infrared (IR) sensing applications. Prior works correct the nonuniformity by using similar spatial representations, which inevitably damage some detailed structures of the image. In this paper, we instead take advantage of spectral prior of stripe noise to solve its correction problem in single IR image. We first analyse the significant spectral difference between stripes and image structures and utilize this knowledge to characterize stripe nonuniformity. Then a two-stage filtering strategy is adopted combining spectral and spatial filtering. The proposed method enables stripe nonuniformity to be eliminated from coarse to fine, thus preserving image details well. Extensive experiments on simulated images and raw IR images demonstrate that the proposed method achieves superior correction performance over the recent state-of-the-art methods.
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