How to apply Average filter, Weighted filter and Median Filter to Noisy Image?

Some neighborhood operations work with the values of the image pixels in the neighborhood and the corresponding values of a sub image that has the same dimensions as the neighborhood. The sub image is called a filter, mask, kernel, template, or window, with the first three terms being the most prevalent terminology. The values in a filter sub image are referred to as coefficients, rather than pixels. The process consists simply of moving the filter mask from point to point in an image. At each point (x, y), the response of the filter at that point is calculated using a predefined relationship.

MATLAB code of Analysis of LSB Based Steganography.

INTRODUCTION:

Information hiding in digital images has drawn much attention in recent years. Secret message encrypted and embedded in digital cover media. The redundancy of digital media, as well as characteristics of the human visual system, makes it possible to hide secret messages. Two competing aspects are considered while designing information hiding scheme

1) Hiding capacity and

2) Imperceptibility.

MATLAB code for Iris Recognition system (DCT Based).

INTRODUCTION:

A biometric system provides automatic recognition of an individual based on some sort of unique feature or characteristic possessed by the individual. Biometric systems have been developed based on fingerprints, facial features, voice, hand geometry, handwriting, the retina, and the one presented in this thesis, the iris. Biometric systems work by first capturing a sample of the feature, such as recording a digital sound signal for voice recognition, or taking a digital color image for face recognition.