Poster + Paper
13 October 2020 Image enhancement in a quaternion framework for remote sensing applications
Author Affiliations +
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.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement

Remote sensing

Image processing

3D image enhancement

Color image processing

Earth observing sensors

Satellite imaging

RELATED CONTENT

The coastline remote sensing survey for Zhao Shu Island in...
Proceedings of SPIE (November 18 2014)
Urban texture analysis
Proceedings of SPIE (October 30 1997)

Back to Top