Abstract
The paper highlights an approach to provide custom-fit, non-invasive image compensation and remapping by which to magnify and optimize central vision for humans. Medical evidence supports that the visual density lies mostly within the limited range of the central vision. The technique is, consequently, based on both practical viewing considerations as well as the spatial density distribution in human retinal cells. The perceived image is divided into three vertically distributed sections (top--center--bottom), each warped according to its respective visual significance. Optimization is also used to ensure the smooth flow and transition of the image from one region to the other. The technique is expected to serve in applications such as low-vision, surveillance, machine operation, gaming, and text-enhancement.