Iterative Back-Projection Algorithm Based Signal Processing Approach To Enhance An Image Resolution

摘要

In all image processing applications, there is huge demand for high-resolution images. Image resolution depends on the resolution of the image acquisition device like digital camera. One way to increase resolution is to go for very high-resolution cameras but the major difficulty associated with using high-resolution cameras is, it increases the cost. An alternative to expensive high resolution cameras, super-resolution (SR) is used to obtain a high-resolution (HR) image from a sequence of multiple low-resolution (LR) observations of the same scene. SR image reconstruction is one of the most spotlighted research areas, because it can overcome the inherent resolution limitation of the imaging system and improve the performance of most digital image processing applications. In this paper, we demonstrate the Iterative-Back Projection (IBP) algorithm to obtain high-resolution images. The analysis is first carried out in the 1-D domain to demonstrate the dealiasing capability of the super-resolution and extended to synthetic images