11th International Conference on ICTIS

Authors - Padma Lakshmi G, Swetha V, Monik Raj Murugan S, Srinivasa Perumal R, Lakshmi Priya G G
Abstract - We have proposed ”Haze to vision: Pipeline for Underwater Image Restoration, Enhancement and Object detection”.The images captured underwater suffer from bluish tint,greenish tint,haze,color distortion. As light travels in water it will undergo scattering, refraction and absorption, the higher the wavelength will be observed first, and the lower wavelength will be absorbed later. This phenomenon affects the bluish/greenish color in the captured images . To study underwater species, underwater environments, we need good quality images and videos. The images captured underwater are poor quality. There have been several researches yet they have many drawacks.We have proposed pipeline.Our model consists of restoration,enhancement,object detection. Restoration process built from deep convolutional neural network called autoencoder .Which has been trained by 5000 synthetic images. The second model is the self-supervised enhancement model. The selfsupervised model is trained for 10,000 epochs of 5,000 datasets.We have used the customized gan model to obtain the best results.We have also used transfer learning and residual network for the improvement of the model.We have reached the PSNR value of 38.33 . CIQUE value 0.82 and UIQM 0.5.Our third model is object detection model. We have used the latest version of YOLOv5 for the betterment and the best object detection model.