• Koustav Guha
• Soumyajit Chakraborty

Image quality is defined with respect to the term known as resolution. Basically, resolution illustrates the clarity of an image. Feasible sensors can be implemented for achieving higher quality of images but it is not exorbitant. Instead of focusing on various image processing ways, our focus should be on preparing higher resolution images and it would also be affordable. The term which is used for this process, is known as Super Resolution Image Reconstruction which is used for improvement of image quality. The whole paper focuses of generation and analysis of multiple methods of super resolution. In the current days, satellite image processing, medical image processing and many other departments use these processes for obtaining excellent resolution images from. The editing applications also use these processes for generating high resolution images or hazy images. In recent years enhancing the quality of image using Super Resolution methods have got very famous and further researches are going on for rendering more efficient pictures.

Interpolation, High resolution, Low resolution, Super Resolution, Bicubic

"Study of Commonly Used Image Interpolation Techniques for Single Frame Super Resolution Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.319-323, September-2020, Available :http://www.jetir.org/papers/JETIR2009040.pdf

"Study of Commonly Used Image Interpolation Techniques for Single Frame Super Resolution Methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp319-323, September-2020, Available at : http://www.jetir.org/papers/JETIR2009040.pdf