Abdul Ghani Ahmad Shahrizan, Mat Isa Nor Ashidi
School of Electrical & Electronics Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia ; Faculty of Electrical and Automation Engineering Technology, TATI University College, Jalan Panchor, 24100 Kijal, Kemaman, Malaysia.
School of Electrical & Electronics Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang Malaysia.
Springerplus. 2014 Dec 20;3:757. doi: 10.1186/2193-1801-3-757. eCollection 2014.
The quality of underwater image is poor due to the properties of water and its impurities. The properties of water cause attenuation of light travels through the water medium, resulting in low contrast, blur, inhomogeneous lighting, and color diminishing of the underwater images. This paper proposes a method of enhancing the quality of underwater image. The proposed method consists of two stages. At the first stage, the contrast correction technique is applied to the image, where the image is applied with the modified Von Kries hypothesis and stretching the image into two different intensity images at the average value with respects to Rayleigh distribution. At the second stage, the color correction technique is applied to the image where the image is first converted into hue-saturation-value (HSV) color model. The modification of the color component increases the image color performance. Qualitative and quantitative analyses indicate that the proposed method outperforms other state-of-the-art methods in terms of contrast, details, and noise reduction.
由于水的特性及其杂质，水下图像的质量较差。水的特性导致光在水中传播时发生衰减，从而造成水下图像对比度低、模糊、光照不均匀以及颜色衰减。本文提出了一种提高水下图像质量的方法。该方法包括两个阶段。在第一阶段，将对比度校正技术应用于图像，即对图像应用改进的冯·克里兹假设，并根据瑞利分布将图像拉伸为两个不同强度的平均值图像。在第二阶段，将颜色校正技术应用于图像，先将图像转换为色相 - 饱和度 - 值（HSV）颜色模型。对颜色分量的修改提高了图像的颜色性能。定性和定量分析表明，该方法在对比度、细节和降噪方面优于其他现有方法。
