BibTeX:

@article{IJIRSTV3I3052,
     title={Super- Resolution Techniques for Single Image},
     author={Devyani Tambe and Prof. S M Kulkarni},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={3},
     pages={114--116},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I3052.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Images with low quality have low resolution and also have some blocking artifacts. To perform image super-resolution (SR) on this low quality image gives low visual quality of the image. In this paper a self-learning based super resolution technique is used to obtain a low quality SR on single image as well as removal of artifacts which are introduced due to compression. On the low quality image if deblocking is done, then the details may be lost. With self-learning sparse representation for low resolution and high resolution image patches by using learned dictionaries. This method gives far better results in terms of visual quality as compared with other methods of interpolation used.

Super-Resolutiont, Self-Learning, Sparse Representation, Learned Dictionaries