Detection of Good Quality Front Face from Inexpensive Low Resolution Surveillance Camera

The face is important part of a body to identify any person. Every public place having the surveillance camera to monitor on public activities. From that video sequence if at any Circumstances we want to find the suspected person because of low resolution of surveillance camera it gets difficult to detect the face of person what we exactly wanted so that we need a mechanism which can take a input from that video sequence and convert it into face logs and applying some resolution techniques we can get the good quality and high resolution front faces from it. To deal with this approach we required an automated system which is working with LR and low-quality faces. Super-resolution (SR) is one of such technique for obtaining high resolution (HR) image from one or more LR input images. Super resolution faces two problems one which is related with images that it requires the similar image and second problem relates with improvement factor whose limit is of two. Because of this technique the improvement factor gets improved by four for whole system. The experimental results show that the proposed system can produce a front faces which have clear resolution and good quality from the video sequences.