一种改进的基于暗通道先验的图像去雾算法

2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA) Pub Date : 2014-12-08 DOI:10.1109/WARTIA.2014.6976545

Jiajie Liu, Jieying Zheng, Z. Cui, Guijin Tang, Feng Liu

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引用次数: 7

摘要

基于暗信道先验的图像去雾算法已被证明是有效的，但仍不能保证准确传输。为了解决这一问题，我们首先提出了一种更合理的大气光估计，因为大气光估计的偏差会导致传输不准确。其次，我们改进了明亮区域的传输估计，以减轻颜色失真。图像恢复后，进行去噪，提高图像质量。最后，我们采用了一种基于人类视觉系统特性的盲图像质量评估方法，实验结果表明，改进后的算法更加有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An improved image dehazing algorithm based on dark channel prior

Image dehazing algorithm based on dark channel prior has been proved to be effective, but it cannot still guarantee accurate transmission. To solve this problem, we firstly propose a more reasonable estimation of atmospheric light, because bias in the atmospheric light estimation will cause an inaccurate transmission. Secondly, we improve the estimation of transmission in bright area so as to alleviate color distortion. After image recovery, we carry out denoising to improve the image quality. Finally, we use a blind image quality assessment method based on property of Human Visual System, and the experimental results show that this improved algorithm is more effective.

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2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA)

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