Enhancement technique of underground image based on dark channel prior
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摘要: 针对现有煤矿井下图像模糊增强算法不能应对井下浓雾情况且处理后的图像较模糊的问题,提出一种基于暗原色先验的煤矿井下图像增强技术,通过线性模糊化函数来达到图像增强的目的,并使用暗原色先验理论来增强图像的对比度,同时去雾尘。实验结果表明,基于暗原色先验的煤矿井下图像增强技术可提高煤矿井下图像的可视性,同时明显增强图像的对比度。Abstract: In view of problem that existing image fuzzy enhancement algorithm of underground coal mine cannot deal with the situation when the image is in fog and the processed images are obscure, the paper proposed an enhancement technique of underground image based on dark channel prior. The technique uses linear fuzzification function to achieve the purpose of image enhancement, and adopts dark channel prior theory to enhance image contrast, meanwhile realizes defogging and dedusting. The experimental results show that the proposed technique can improve visibility of underground image and significantly enhance image contrast.
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Key words:
- coal mine /
- image enhancement /
- linear fuzzification /
- dark channel prior /
- image in fog and dust /
- contrast
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