Thermal Image Enhancement Algorithm Based on Adaptive Fusion Technique of Multi Color Space


  • Rafid A. Haleot Mustansiriyah University, Baghdad
  • Ziad M. Abood Mustansiriyah University, Baghdad
  • Ghada S. Karam Mustansiriyah University, Baghdad



Enhancement of Infrared Image, CLAHE, LAB color space, HSV Color Space, Image Fusion


This paper presents an improvement of the enhancement algorithm of thermal images in order to increase the quality of low contrast and low Illumination Infrared images. Our approach based on Fusion of Multi-Color Spaces, two main stages are tested: in the first stage the thermal images mapped from RGB color space to LAB and HSV Color Spaces where enhancement is done and reconverted to the RGB space, the luminance component (V) in HSV Color Space and the luminance component (L) in LAB Color Space are enhance using CLAHE method. In the second stage, the contrast improving is done by the fusing of both results. The results of the experimental demonstrate the performance of the proposed algorithm for improving the quality of thermal images in comparison with the published works.


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How to Cite

Rafid A. Haleot, Ziad M. Abood, & Ghada S. Karam. (2020). Thermal Image Enhancement Algorithm Based on Adaptive Fusion Technique of Multi Color Space. International Journal of Engineering Research and Advanced Technology (ijerat) (E-ISSN 2454-6135) DOI: 10.31695/IJERAT, 6(9), 10–15.




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