开发一种以消除雾霾为重点的图像增强方法,以提高水下照片的对比度和色彩

Raju Patel, A. Babu, K. Sunanda, C. S. C. Kumar, S. K. Tripathi
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引用次数: 0

摘要

水下照片可能会受到雾霾的影响,雾霾降低了能见度,使提取有用信息变得困难。为了解决这个问题,水下图像处理的一个关键任务是去除雾霾,这可以提高图像质量,便于进一步分析。本研究介绍了一种图像增强技术,将雾霾去除与对比度和色彩增强相结合,进一步提高水下照片的视觉质量。该方法首先采用对比度增强和权重映射,然后对相同的输入应用白平衡。在使用融合技术合并前面步骤的结果之前,再次将权重图应用于白平衡图像。实验结果表明,该方法成功地提高了水下照片的整体视觉质量、对比度和色彩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing an image strengthening method for improving the contrast and colours of underwater photographs focused on haze removal
Underwater photos can be hindered by haze, which reduces visibility and makes it difficult to extract useful information. To address this, a crucial task in underwater image processing is removing haze, which can improve image quality and facilitate further analysis. This study introduces an image enhancement technique that combines haze removal with contrast and color enhancement to further enhance the visual quality of underwater photos. The proposed method first employs contrast enhancement and weight maps before applying white balance to the same input. Weight maps are again applied to the white-balanced image before a fusion technique is used to merge the results of the previous steps. Experimental findings demonstrate that this approach successfully enhances the overall visual quality, contrast, and colour of underwater photos.
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