利用白平衡和瑞利拉伸增强水下图像

Monika Mathur, Nidhi Goel
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引用次数: 11

摘要

吸收和散射是水下图像捕获的两个主要问题,导致对比度降低,高度模糊和褪色的颜色。本文提出了一种在RGB色彩模型中使用自动白平衡、伽玛校正和瑞利拉伸来增强水下图像以获得更好的视觉质量的方法。该方法不需要任何专用硬件,只依赖于单个图像,非常有效。白平衡的使用补偿了由于深度选择性吸收颜色而引起的不均匀色偏。红色通道的直方图拉伸的最小限制为5%,蓝色通道的直方图拉伸的最大限制为95%。绿色通道的直方图在两个方向上都被拉伸。为了补偿图像增强不足和增强过度的影响,拉伸颜色通道的直方图被映射到瑞利分布。为了验证所提出的方法,进行了深入的分析。对比度和图像细节的有效增强,通过最小化蓝绿色的影响和减少较少以及更多的增强区域从最终的图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of Underwater images using White Balancing and Rayleigh-Stretching
Absorption and scattering are the two main issues in underwater image capturing which results in diminished contrast, high level of blurring and faded colours. The present paper proposes a method of enhancing underwater images for better visual quality using auto white balancing followed by gamma correction and Rayleigh stretching in RGB colour model. The proposed method is very effective which does not require any dedicated hardware and depends only on single image. The use of white balancing compensates the non-uniform color cast which is caused by the selective absorption of colors with depth. Histogram stretching of red colour channel is done with a minimum limit of 5% and histogram stretching of blue channel is done with a maximum limit of 95%. Histogram of green channel is stretched in both the directions. To compensate the effect of under and over enhancement from the image, histograms of the stretched colour channels are mapped to trail a Rayleigh distribution. Thorough analysis has been carried out to verify the proposed method. Contrast and image details are effectively enhanced by minimizing the bluish-green effect and reducing less as well as more enhanced areas from resultant image.
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