Near-infrared image enhancement through multi-scale alpha-rooting processing for remote sensing application

V. Voronin; E. Semenishchev; Yigang Cen; A. Zelensky; S. Agaian

doi:10.1117/12.2571601

16 September 2020 Near-infrared image enhancement through multi-scale alpha-rooting processing for remote sensing application

V. Voronin, E. Semenishchev, Yigang Cen, A. Zelensky, S. Agaian

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Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 1151032 (2020) https://doi.org/10.1117/12.2571601
Event: SPIE Optical Engineering + Applications, 2020, Online Only

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Abstract

We present a new near-infrared (NIR) image enhancement algorithm based on multi-scale alpha-rooting processing. The basic idea is to apply the α-rooting image enhancement approach for different image blocks. The parameter alpha for every block driven through optimization of measure of enhancement (EME). Also, we propose a fusion scheme for alpha-rooting enhancement and edge detection results. Some experimental results are presented to illustrate the performance of the proposed algorithm on the RGB-NIR Scene Data.

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V. Voronin, E. Semenishchev, Yigang Cen, A. Zelensky, and S. Agaian "Near-infrared image enhancement through multi-scale alpha-rooting processing for remote sensing application", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 1151032 (16 September 2020); https://doi.org/10.1117/12.2571601

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