Practical Method for the Underwater Image Enhancement with Adjusted CLAHE
Ömer Deperlioğlu, Utku Köse · 2018
Due to the nature of the underwater, underwater images are generally low quality. Therefore, some image enhancement methods are used for clarifying colours, improving the visibility of objects, and increasing image quality. The literature survey reveals that there are several methods for underwater image enhancement. But most of them contains advanced techniques such as artificial intelligence or some procedure requires expertise knowledge. In this study, a practical method has been proposed to improve underwater images easily. This method consists of the methods: histogram equalization and also contrast-limited adaptive histogram equalization. The performance test of the proposed method has been evaluated by using the entropy value, PSNR (Peak Signal to Noise Ratio) and the MSE (Mean Square Error) considering some existing methods in the literature. The obtained results indicate that the introduced method is very efficient and successful to improve all kind of underwater images.