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

Osama A. Omer
2012 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
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 subproblems 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
more » ... 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.
doi:10.1007/978-3-642-32573-1_8 fatcat:artbx3tba5gh7dfbcksdkgowqu