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A fast and effective algorithm for specular reflection image enhancement
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DOI：10.1007/s11042-022-13706-1.png)
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Aiming at the problems of image quality degradation and information loss in images affected by reflections in real scenes, this paper proposes a fast and effective specular reflection image enhancement algorithm. This method uses the dark channel prior algorithm to process the specular image, in which the moving window minimum filter is used to estimate the global illumination component of the specular image, and a weighting function based on local pixel chromatic aberration is introduced under the boundary constraints. Then, it uses an improved guided image filtering algorithm to enhance the image, introduces adjustment parameters based on local variance information in the cost function of the guided filtering algorithm, and introduces an adaptive magnification factor in the detail layer. Finally, we compare the algorithm in this paper with the existing algorithms in subjective vision and objective evaluation. The results show that the calculation speed of this method is faster, and it can effectively enhance the information in the reflection image, and simultaneously effectively improve the clarity of the image.
Keyword:
Specular reflection image enhancement
Dark channel prior
Weighting function
Guided image filtering (GIf)
Adaptive magnification factor
期刊
IF:
3
论文数:
2.0W
被引数:
3.2W
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