Image enhancement in a quaternion framework for remote sensing applications

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

doi:10.1117/12.2574242

13 October 2020 Image enhancement in a quaternion framework for remote sensing applications

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

Proceedings Volume 11543, Artificial Intelligence and Machine Learning in Defense Applications II; 115430Q (2020) https://doi.org/10.1117/12.2574242
Event: SPIE Security + Defence, 2020, Online Only

Conference Poster

Abstract

Image enhancement refers to processing images to make them more suitable for display or further image analysis. So, image enhancement is a problem-oriented procedure for improving the visual appearance of the remote sensing image. In this paper, we adopt the quaternion framework for representing color satellite images since it offers scope to process color images holistically, rather than as separate color space components, and thereby handles the coupling between the color channels. We present a new image enhancement algorithm based on multi-scale block-rooting processing. The basic idea is to apply the frequency domain image enhancement approach for different size image blocks. Also, we used a nonreference quality measure to choose the presented algorithm parameters optimally. Computer simulations on the remote sensing image dataset show that the new enhancement algorithm exhibits better results compared to state-of-the-art techniques.

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V. Voronin, E. Semenishchev, Y. Cen, A. Zelensky, and S. Agaian "Image enhancement in a quaternion framework for remote sensing applications", Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 115430Q (13 October 2020); https://doi.org/10.1117/12.2574242

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