A Dynamic Data Driven and Data Segregation Approach Image Restoration using Neural Networks

Abstract

Image Restoration is the procedure of retrieving the actual image by eliminating noise and vagueness from image. Image disclarity is hard to avoid in many circumstances like photography, to remove motion blur caused by shake of camera while capturing pictures, radar imaging to remove the effect of image system response etc. Image noise is undesirable signal which comes in image from sensor such as thermal or electrical signal and environment condition such as rain fall, fog etc. The image degradation could come from coding artifacts, resolution limitation, object movement, carrying noise, camera shake, or a mixture of them. Image layering is used for decomposing the distorted image into a texture layer (High Frequency HR element) and a structure layer (Low Frequency LF element) with the goal to separate HF and LF artifacts.