Edge Preserving Image Super Resolution

• Main Authors: Chia-Jung Hung, 洪家榮
• Other Authors: Bing-Yu Chen
• Format: Others
• Language: en_US
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/35387818569386045165

碩士 === 臺灣大學 === 資訊工程學研究所 === 98 === As the resolution of output device increases, the demand of high resolution content has become more and more eagerly. As a result, the image super resolution algorithm becomes more and more important. In digital image, image edge is related to human perception heavily, so image edge is very important to image quality. Because of this, most recent research topics on computer vision that handle digital images do their best to enhance image edge to achieve better quality. In this project, we propose an edge preserving super resolution algorithm, which is related to image vectorization strongly. We first parameterize the image edges to fit edge shape, and than using these data as constraint of super resolution. However, the color nearby edge is usually a combination of two different regions. To get pure color of edge, we use matting technique to solve the problem. Finally we do super resolution based on edge shape, position and nearby color in-formation to compute a digital image with sharp edge.