Simultaneous Digital Focusing and Motion Blur Removal using Segmentation-Based Adaptive Regularization

摘要

Recently, many image processing systems are required to offer high-quality images. For example, when we use a surveillance system with a digital camcorder and a digital video recorder, it is highly probable that the acquired image suffers from various image degradation, such as motion blur and out-of-focus blur. With such degradation, we cannot obtain important information. This is mainly caused by limited performance of image formation system. In this work, we investigate the causes of focus blur and motion blur. With the simultaneous formulation of the corresponding degradation, we propose a spatially adaptive regularization algorithm for restoring out-of-focus and motion blurred images. Accordingly, we present a method to estimate blur parameters and a segmentation method for spatially adaptive processing.