Description

Due to the scattering and attenuation of light into the water, the underwater image usually appears with color distortion, blurred details, and low contrast. To address these problems, underwater image convolutional neural network (CNN) based on structure decomposition for underwater image enhancement is proposed by considering the characteristics of underwater imaging. The system is developed the different image enhancement techniques for enhancing the image pixel quality or improve the input image pixel quality effectively by using white balance techniques and histogram equalization. Then, the system is implemented the deep learning classification algorithm such as convolutional neural network (CNN).