ADVANCED IMAGING SOLUTIONS FOR AQUATIC ENVIRONMENTS

In recent times, extensive research has been carried out to enhance the visibility of underwater images for submarine and military operations, aiming to reveal submerged structural designs and explore the sea floor. The extended period spent engaging in deep-sea diving has presented difficulties when it comes to examining images taken beneath the water’s surface. Further, other 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 have been introduced to improve the visual quality of deep-water images. Therefore, in this project, a novel algorithm based on bidirectional Empirical Mode Decomposition (BEMD) used to enhance the visual quality of the underwater images will be implemented and we will demonstrate the application of various traditional enhancement algorithms on datasets. And by comparing with the different quality metrics of each algorithm we can conclude which method is best to enhance the underwater images for both database images and real time images. The quality metrics of enhanced image are tested using CLAHE algorithm to achieve a good PSNR compared to other conventional enhancement algorithms.