Unsupervised Contrast Correction for Underwater Image Quality Enhancement through Integrated-Intensity Stretched-Rayleigh Histograms
Unsupervised Contrast Correction for Underwater Image Quality Enhancement through Integrated-Intensity Stretched-Rayleigh Histograms
复制标题
通过积分强度拉伸瑞利直方图进行无监督对比度校正以增强水下图像质量
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Muhamad Luqman Muhd Zain
中科院分区：
文献类型：
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作者：
A. A. Ghani;Raja Siti Nur Adiimah Raja Aris;Muhamad Luqman Muhd Zain
通过水介质传播的光的衰减导致水下图像遭受几个问题。对比度和色彩表现力低是导致图像丢失重要信息的主要原因。此外，图像中的对象几乎无法与背景区分开。针对这些问题，本文对水下图像的增强方法进行了扩展，旨在提高图像的对比度和色彩表现力。所提出的方法包括两个阶段。在第一阶段，对比度校正技术应用于图像。图像乘以增益因子。图像直方图在中点处被划分为两个区域，并朝向较高和较低强度值拉伸。这两个不同强度图像的合成产生对比度增强图像。在第二阶段，对图像进行颜色校正，将图像转换为色调-饱和度-值（HSV）颜色模型。S和V分量的分割和拉伸增加了图像颜色。通过综合考虑输出图像的对比度和色彩性能，该方法优于现有的方法
The attenuation of light that travels through the water medium results the underwater image to suffer from several problems. Low contrast and color performance are the problems that resulting the image to loss important information. In addition, the objects in the image are hardly differentiated from the background. Consequences from these problems, this paper extend the methods of enhancing the quality of underwater image with the aim of improving the image contrast and increase the color performance. The proposed method consists of two stages. At first stage, contrast correction technique is applied to the image. The image is multiplied with a gain factor. The image histogram is divided into two regions at the mid-point and stretched towards the higher and lower intensity values. The composition of these two different intensities images produces contrast-enhanced image. At the second stage, the image is applied with color correction, where the image is converted into Hue-Saturation-Value (HSV) color model. Dividing and stretching of S and V components increase the image color. By considering the contrast and color performance of the output image, the proposed method outperforms the state-of-the-art methods