Local-adaptive Enhancement of Details in Thermal Images

Iordanov, Velin and Draganov, Ivo (2019) Local-adaptive Enhancement of Details in Thermal Images. In: 54th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST 2019), June 27-29, 2019, Ohrid, North Macedonia.

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Abstract

In this paper two algorithms are compared for local adaptive enhancement of contrast of thermal images. They are a modified adaptive gamma correction and local adaptive multiscale combining. The second is recursively applied at different scales preceded by smoothing with a Gaussian kernel and weighted averaging with consequent combination of resulting images. It is believed that this algorithm is also applicable for details highlighting. The analysis is made over a set of thermal images varying in contrast, details and overall content. Positive results are obtained which prove the applicability of the second approach for real-world implementations.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Sharpness Enhancement, Local-adaptive Operator, Gaussian Kernel, Gamma Correction, Thermal Image
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Technical Sciences
Depositing User: ICEST
Date Deposited: 18 Mar 2020 17:07
Last Modified: 18 Mar 2020 17:07
URI: http://eprints.uklo.edu.mk/id/eprint/4248

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