Underwater image re-enhancement with blend of Simplest Colour Balance and Contrast Limited Adaptive Histogram Equalization Algorithm

G. Mageshwari, M. Chandralekha, Dharminder Chaudhary
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Abstract

A trial has been made for a technique for the enhancement and restoration of underwater images. To resolve this a fusion algorithm that consists of a simple color balance algorithm and Contrast Limited Adaptive Histogram Equalization (CLAHE) contrast enhancements algorithm is carried out. To increase the effect of R, G, and B values in the image’s color spectrum, we have used a simple color balance algorithm. This simple color balance algorithm observes the image’s brightest and darkest values and stretches as much as it can between maximum and minimum [0,255]. To increase the depths in the images we perform a contrast enhancement. The projected underwater image processing output is contrasted with a number of other current models. A comparison of our model shows an advantage over others in some results
混合最简单色彩平衡和对比度限制的自适应直方图均衡化算法的水下图像再增强
对一种增强和恢复水下图像的技术进行了试验。为了解决这一问题,提出了一种由简单的色彩平衡算法和对比度有限自适应直方图均衡化(CLAHE)对比度增强算法组成的融合算法。为了增加图像光谱中R、G和B值的效果,我们使用了一个简单的色彩平衡算法。这个简单的色彩平衡算法观察图像的最亮和最暗的值,并尽可能地在最大值和最小值之间拉伸[0,255]。为了增加图像的深度,我们进行了对比度增强。投影的水下图像处理输出与许多其他当前模型进行了对比。我们的模型的比较显示出在某些结果上优于其他模型
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