Digital Eye

                                                                by

                                                                  Ashish Bhat (02007025)

                                                             Sandhya Hegde (02d07027)

Abstract:

Image Processing and a simple “Digital Eye” Images are a description of how a parameter varies over a surface. A standard visual image results from light intensity variations across a plane. Other parameters that can be used to form an image are temperature, x-ray emission from a galaxy, ground motion during an earthquake etc. Digital Images are a result of quantization of surface dimensions and the intensity of parameter used to form the image.

Image Processing refers to the various techniques used to improve the quality of image. It involves the two basic principles of Convolution and Fourier analysis.

Digital Eye: A Simple model of the Human eye

We will consider a system that is a simplified model of human eye. The input to this system will be a digital image and the output would be a digital image as perceived by the digital eye. We shall then compare the characteristics of our model with those of the human eye, and analyze its properties as a system:

• Linearity
• Causality
• Memory
• Shift Invariance
• Stability and convergence

We shall also consider some real-life situations and show how our system behaves in a manner similar to the human eye.