Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers

Research Article

Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction

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  • @INPROCEEDINGS{10.1007/978-3-642-32573-1_8,
        author={Osama Omer},
        title={Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction},
        proceedings={Signal Processing and Information Technology. First International Joint Conference, SPIT 2011 and IPC 2011, Amsterdam, The Netherlands, December 1-2, 2011, Revised Selected Papers},
        proceedings_a={SPIT \& IPC},
        year={2012},
        month={10},
        keywords={Super-resolution image registration blurs identification},
        doi={10.1007/978-3-642-32573-1_8}
    }
    
  • Osama Omer
    Year: 2012
    Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction
    SPIT & IPC
    Springer
    DOI: 10.1007/978-3-642-32573-1_8
Osama Omer1,*
  • 1: South Valley University
*Contact email: omer.osama@gmail.com

Abstract

A solution to the problem of obtaining a high-resolution image from several low-resolution images is provided. In general, this problem can be broken up into three sub-problems: registration, blur identification, and reconstruction. Conventional super-resolution approaches solve these sub-problems independently. In this paper, we propose a method to simultaneously solve all the sub-problems. The proposed method minimizes a nonlinear least squares error function. The cost function is alternatively minimized with respect to registration parameters, blurring operators, and high resolution image. The objective and subjective results are shown to demonstrate the effectiveness of the proposed method.