影像序列之超解析度影像重建

Abstract

超解析度有許多種類的應用，為了要使低解析度的內容呈現在高解析度的顯示器上，市場對於超解析度的演算法有著迫切需求。本論文中提出了一個基於凸集投影的超解析度演算法。在超解析度處理中，會給定一個低品質的影像序列，而輸出我們想要得到的高品質影像。我們採用頻率域方法來估計畫面間的運動位移，也使用對數影像處理來增強輸出影像的結果。

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.