IRSUM: inter-frame registration based non-uniformity correction using spatio-temporal update mask

Huseyin Seckin Demir; Omer Faruk Adil

doi:10.1117/12.2320435

17 September 2018 IRSUM: inter-frame registration based non-uniformity correction using spatio-temporal update mask

Huseyin Seckin Demir, Omer Faruk Adil

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107521D (2018) https://doi.org/10.1117/12.2320435
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

We propose a novel scene-based non-uniformity correction method to achieve better fixed-pattern noise reduction and eliminate ghosting artifacts. Our approach is based on robust parameter updates via inter-frame registration and spatio-temporally consistent correction coefficients. We utilized a GMM-based spatio-temporal update mask to selectively refine the estimations of correction coefficients. The results of our experiments on an extensive dataset consisting of both synthetically corrupted data and real infrared videos show that the proposed algorithm achieves superior performance in PSNR and roughness metrics with notably lower ghosting artifacts when compared to other state-of-the-art methods.

Citation Download Citation

Huseyin Seckin Demir and Omer Faruk Adil "IRSUM: inter-frame registration based non-uniformity correction using spatio-temporal update mask ", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107521D (17 September 2018); https://doi.org/10.1117/12.2320435

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