Super-Resolution Image Restoration from Image Sequence
Date Issued
2014
Date
2014
Author(s)
Lee, Cheng-Han
Abstract
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 project-onto-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.
Subjects
超解析度
凸集投影
內插
多幀影像
Type
thesis
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