STM Journals Peer-reviewed research from Consortium e-Learning Network

Research & Reviews: A Journal of Embedded System & Applications

Reconstruction Techniques for Super Resolution Using Low Resolution Images

  1. Devidas Dighe
  2. Gajanan K. Kharate
  3. Varsha H. Patil

Abstract

The aim of Super Resolution (SR) reconstruction is to restore High Resolution (HR) image using information obtained from many degraded and aliased Low Resolution (LR) images. SR is signal processing for bandwidth expansion beyond the pass band of the imaging hardware system by using spatio-temporal information available from LR images. Over last three-decade various researchers contributed in the field of SR, but all are intuitive SR mechanisms. This paper employs Kerens algorithm for registration, which is an iterative algorithm and more accurate than other. Algorithm find the rotation angle by using a 3-parameter affine transformation generated using Gaussian pyramid. Thereafter various reconstruction techniques are applied and analyzed for quality of reconstruction in objective and subjective way revel that execution time for convolution approach is highest but subjective quality is better than the others and interpolation is the fastest approach, butresult is blurred.

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