Underwater image restoration : super resolution and deblurring via sparse representation and denoising by means of marine snow removal Underwater imaging has been widely used as a tool in many fields however a major issue is the quality of the resulting images videos. Due to the lights interaction with water and its constituents the acquired underwater images videos often suffer from a significant amount of scatter (blur haze) and noise. In the light of these issues this thesis considers problems of low resolution blurred and noisy underwater images and proposes several approaches to improve the quality of such images video frames. Quantitative and qualitative experiments validate the success of proposed algorithms.<eng>