Shape Aware Image Resizing

• Main Authors: Li, Yi-Shan, 李宜珊
• Other Authors: Chuang, Jung-Hong
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/52755958408449519242

碩士 === 國立交通大學 === 多媒體工程研究所 === 100 === Previous content-aware image resizing methods typically account for a saliency map to determine the visually importance of the content and uses the saliency value as a measure of preservation strength. However, it is observed that a visually salient region does not imply the region needs precise preservation. In this thesis, we use the global structure of an image, which is composed of the strong edges of the image, to guide the resizing steps. A powerful image segmentation scheme [1] is first employed to extract the global structure. The image is represented as a triangular mesh that fits the global structure. We deform the mesh with several constraints: curve constraints are used to preserve the shape of the curve, a smoothness constraint is used to smooth the deformation, and a foldover constraint is used to prevent the triangle foldover. The above constraints can be efficiently solved in the linear least-squares sense, and the experiments show that our method can produce convincing results and maintain the overall structure well.