• Khyati Joshi
• M N Charel
• Ketan Bhavsar

Abstract: Super-resolution (SR) is the term used to define the process of estimating a high resolution (HR) image or a set of HR images from a set of low resolution (LR) observations. In this paper we propose a SR algorithm, based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Numerical experiments comparing the proposed algorithms, demonstrate the advantages of the adopted multi channel approach.

Maximum a posteriori (MAP) framework, multi channel prior, observation model, parameter estimation, super-resolution, video applications.

"A novel approach for enhancing quality of video using MMSE method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 7, page no.3234-3240, July-2015, Available :http://www.jetir.org/papers/JETIR1507044.pdf

"A novel approach for enhancing quality of video using MMSE method", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 7, page no. pp3234-3240, July-2015, Available at : http://www.jetir.org/papers/JETIR1507044.pdf