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基于暗通道先验的井下图像复原方法

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井下图像为解决石油资源在开采的过程中出现的各种问题提供了有力帮助.由于光在传播的过程中会受到水中颗粒物散射影响,从而出现对比度下降、颜色失真等现象.为了提高井下图像的清晰度,从而获取更多的有用信息.采用暗通道先验算法、限制对比度直方图均衡算法处理原始图像,将得到的处理后图像进行像素级图像融合,最后对得到的图像进行白平衡颜色校正处理,从而实现井下图像复原.通过对比实验验证,该方法能够有效提高井下图像的清晰度.
Downhole image restoration method based on dark channel prior
Downhole images provide a powerful help in solving various problems that occur during the extraction of petroleum resources.As light is scattered by particles in the water in the process of propagation,the phenomena such as decrease in contrast and color distortion occur.In order to improve the clarity of downhole images,so as to obtain more useful information.The article adopts dark channel a priori algorithm,contrast Limited Adaptive Histogram Equalization to process the original image,pixel-level image fusion for the processed image,and finally white balance and color correction for the obtained image,so as to realize down-hole image restoration.It is verified through comparison experiments that this method can effectively improve the clarity of down-hole images.

image recoverydark channel priorcontrast limited adaptive histogram equalizationwhite balance

严正国、樊杰

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西安石油大学电子工程学院,西安 710065

图像复原 暗通道先验 限制对比度直方图均衡 白平衡

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(22)