Super-Resolution Image Reconstruction Based on Guidance Image
Imran Khan, Faisal Mufti
Journal of Multimedia Processing and Technologies, Vol. 5, No. 4, 2014.
DOI: 
Link: http://www.dline.info/jmpt/fulltext/v5n4/3.pdf
Abstract:
Super-resolution framework uses multiple noisy low resolution images from camera to generate a higher resolution image that has better spatial resolution than any of the available low resolution images. Super-resolution is an
ill-posed problem. A inherent difficulty is the challenge of inverting the image observation model without amplifying the
effect of noise in the measured data. Classically, the issue is addressed by incorporating regularization in the cost function
to constraint the space of solutions. The main focus of this paper is to develop a regularization function that would preserve
edges with improved resolution of super-resolved image. The proposed method is also compared with the classical super resolution
methods and experimental results show the effectiveness and robustness of this method both visually and quantitatively.