Introduction
Image quality is affected by distance, object/camera orientation, environmental condition and finally by the resolution of the image sensor (Camera-CCD or scanner). It is often impractical or impossible to overcome these problems with a better camera (higher resolving sensor) or better vantage point. There might even be physical constraints to obtaining higher quality images, like in the area of satellite imagery or Ultra-sound. In the case of 3D-remote modeling, the sheer amount of data is prohibitive for displaying in high resolution. Super Resolved Image Processing allows to overcome many of these shortcomings by using a number of low resolution images from the same scene but taken from slightly different perspectives and merging them together to a final image of higher resolution and quality. Both spatial and gray scale resolution can be improved. Color images can benefit in a similar way.