SUPER RESOLUTION OF IMAGES USING HYBRID APPROACH

Authors

  • Miss Nikita P Rana Department of Computer science Shri S'ad Vidya Mandal Institute of Technology
  • Miss Sweety P Mistry Department of Computer science Shri S'ad Vidya Mandal Institute of Technology
  • Miss Urvashi C Rana Department of Computer science Shri S'ad Vidya Mandal Institute of Technology
  • Prof. Mihir Patel Department of Computer science Shri S'ad Vidya Mandal Institute of Technology

Keywords:

Super-resolution, Motion estimation, Regularization, Reconstruction, Pixel.

Abstract

Super Resolution is a process of producing a high spatial resolution image from one or more Low
Resolution (LR) observation. The resolution of an image is defined as the amount of fine details that are
visible. Nowadays Super-resolution image reconstruction is a active area of research, as it is capable of
overcoming some resolution limitations of low-cost imaging sensors such as Cell phone cameras. This allows
better utilization of the growing capability of high-resolution displays such as high-definition LCDs. Such
resolution enhancing technology is important in medical imaging and satellite imaging where diagnosis or
analysis from low-quality images can be extremely difficult .We have proposed the approach for enhancing
the resolution of images. We exploited the shift and motion based robust super-resolution (SR) algorithm [1]
and the diffusion image regularization method proposed in [2] to obtain the alias free and jerk free smooth SR
image.

Published

2014-03-25

How to Cite

Miss Nikita P Rana, Miss Sweety P Mistry, Miss Urvashi C Rana, & Prof. Mihir Patel. (2014). SUPER RESOLUTION OF IMAGES USING HYBRID APPROACH. International Journal of Advance Engineering and Research Development (IJAERD), 1(3), 353–356. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/5412