光学学报, 2017, 37 (12): 1211003, 网络出版: 2018-09-06   

基于改进暗原色先验和颜色校正的水下图像增强 下载: 1375次

Underwater Image Enhancement Based on Improved Dark Channel Prior and Color Correction
作者单位
西北工业大学航海学院, 陕西 西安 710072
摘要
水下图像成像过程与雾天图像类似,但传统的去雾方法用于水下图像处理效果欠佳。针对水下捕获图像存在颜色衰减严重和蓝(绿)色基调的问题,提出了一种基于改进暗原色先验和颜色校正的水下图像增强方法。结合光在水下的传播特性,对空气中的暗原色先验去雾算法进行改进,在求取水下暗原色通道和图像背景光时考虑红色通道的逆通道;提出先采用改进的水下暗原色先验法去除后向散射光,再通过白平衡算法对增强后的水下图像进行颜色校正的方法。实验结果表明,相比于传统算法,本文的方法在处理后向散射严重的水下图像时,可以获得更高的清晰度和对比度。
Abstract
The imaging process of the underwater image is similar to that of the haze image. However, the traditional dehazing methods used to underwater image processing can not obtain fruitful results. Aimed at problems of serious color attenuation and blue (green) tone during capturing underwater images, we propose an underwater image enhancement method based on improved dark channel prior and color correction. By considering the propagation characteristics of light in water, we improve the dark channel prior dehazing algorithm for underwater image, and by considering the inverse channel of red channel, we obtain the underwater dark channel and image background light. It is proposed to use the improved underwater dark channel prior to remove the backward scattered light firstly, and then use the white balance algorithm to correct color. The experimental results reveal that the method proposed in this paper, compared with traditional methods, can acquire images with higher resolution and higher contrast during processing serious backscatter of underwater images.

李黎, 王惠刚, 刘星. 基于改进暗原色先验和颜色校正的水下图像增强[J]. 光学学报, 2017, 37(12): 1211003. Li Li, Huigang Wang, Xing Liu. Underwater Image Enhancement Based on Improved Dark Channel Prior and Color Correction[J]. Acta Optica Sinica, 2017, 37(12): 1211003.

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