A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Image Super-Resolution Based on Alternative Registration, Blur Identification and Reconstruction
[chapter]
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
doi:10.1007/978-3-642-32573-1_8
fatcat:artbx3tba5gh7dfbcksdkgowqu