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  •   Open Research
  • AUT Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
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Specular Reflection Image Enhancement Based on a Dark Channel Prior

Xin, Y; Jia, Z; Yang, J; Kasabov, N
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http://hdl.handle.net/10292/14877
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Abstract
In this paper, we propose a specular highlight image enhancement algorithm based on a dark channel prior to solve the problem of information loss in specular highlight images in real scenes. First, the algorithm is based on the dark channel prior algorithm, and a moving window minimum filter is used to estimate the global illumination component. Then, a weighted function based on the local pixel color difference is introduced to solve the halo artifacts in the image. Then, the improved guided filter algorithm is used to optimize the transmittance, which improves the computational efficiency of the algorithm. Finally, the brightness of the image is adjusted by the CLAHE algorithm to enhance the local details of the image. Experimental results show that this method can effectively enhance the information in specular highlight images, and its processing results are obviously better than those of other algorithms.
Keywords
Imaging system; Image segmentation; Neutrosophic set theory; Saliency map; The method of threshold
Date
2021
Source
IEEE Photonics Journal, Volume: 13, Issue: 1.
Item Type
Journal Article
Publisher
IEEE
DOI
10.1109/JPHOT.2021.3053906
Publisher's Version
https://ieeexplore.ieee.org/document/9333621
Rights Statement
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/

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