水下
自适应直方图均衡化
计算机科学
环境科学
计算机视觉
地质学
直方图
图像(数学)
海洋学
直方图均衡化
出处
期刊:International journal of engineering research and technology
[ESRSA Publications Pvt. Ltd.]
日期:2020-07-08
卷期号:V9 (07)
被引量:2
标识
DOI:10.17577/ijertv9is070064
摘要
In recent days, a wide range of research has been going on visual enhancement of underwater images, under images in submarine and military operations to discover the submerged structural designing and sea explorations.But the difficulties are increased by diving in the deep ocean for a long time for underwater images.The factors such as scattering resulting from presence of particles inside the water and blurring effects reduce the quality of images being captured by underwater optic camera.There are several algorithms are introduced to improve the visual quality of deep under water images.Therefore, in this project a novel algorithm White balanced CLAHE is to enhance the visual quality of the underwater images will be implemented andcomparison of data with different conventional enhancement algorithms will be illustrated.And by comparing with the different quality metrics of each algorithm we can conclude which method is best to enhance the underwater images for bothdatabase images and real time images.This can be implemented by using MATLAB software.
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