Abstract:
The quality of Image is measured in terms of Resolution. The image clarity can be measured by Resolution. Better
resolution can be generated by use of Good Sensors, but it can be very expensive .Instead of that we can use image processing methods
to obtain High resolution image from low resolution image. It can be very effective and better solution. This Kind of Image
Enhancement is called Super Resolution Image Reconstruction.
This paper focuses on the definition, implementation and analysis on well-known techniques of super resolution. Image super resolution, a process to enhance image resolution, has important applications in satellite imaging, high definition television, medical
imaging, etc. Many existing approaches use multiple low resolution images to recover one high-resolution image. As a result of the
analysis, the critical examination of the techniques and their performance evaluation are achieved.
Super-resolution image restoration has been one of the most important research areas in recent years which goals to obtain a high
resolution (HR) image from low resolutions (LR) blurred, noisy, under sampled and displaced image.
Description:
There are lots of people who inspired and helped us
making research successful. We thank to our staff member of
Atmiya Engineering College, Rajkot, to give us valuable
guidance about research and publication. Our special thanks
to our institute, Atmiya Engineering College, Rajkot, to giving
this opportunity in great environment.
