Super-resolution Image Restoration from Image Sequence
نویسندگان
چکیده
The field of super-resolution has a wide area of applications. In order to display relatively low-quality content on high-resolution displays, the need for super resolution algorithms has become an urgent market priority. A method of super-resolution based on projectonto-convex-sets (POCS) is proposed in this thesis. In the super-resolution process, a set of low-quality images is given, and a single improved-resolution image is desired. We adopt frequency-domain method to estimate motion and enhance the result of high-resolution image by logarithmic image processing model.
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