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A Regularized Robust Super-Resolution Approach For Aliased Images and Low Resolution Videos

Authors

Pankaj Kumar Gautam and M. A. Zaveri, NIT Surat, India

Abstract

This paper presents a hybrid approach for images and video super-resolution. We have proposed the approach for enhancing the resolution of images and low resolution, under sampled videos. 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.We presented a framework for obtaining super-resolution video thatis robust,even in the presence of fast changing video frames. Wecompare our hybrid approach framework’s simulation results with different resolution enhancement techniques i.e. Robust Super-resolution, IBP and Interpolation methods reported in the literature. This approach shows good results in term of different quality parameters.

Keywords

Super-resolution, Motion estimation, Regularization

Full Text  Volume 3, Number 3