Optimized scale-and-stretch for image resizing

Yu Shuen Wang, Chiew Lan Tai, Olga Sorkine, Tong Yee Lee

研究成果: Conference contribution

169 引文 斯高帕斯(Scopus)


We present a "scale-and-stretch" warping method that allows resizing images into arbitrary aspect ratios while preserving visually prominent features. The method operates by iteratively computing optimal local scaling factors for each local region and updating a warped image that matches these scaling factors as closely as possible. The amount of deformation of the image content is guided by a significance map that characterizes the visual attractiveness of each pixel; this significance map is computed automatically using a novel combination of gradient and salience-based measures. Our technique allows diverting the distortion due to resizing to image regions with homogeneous content, such that the impact on perceptually important features is minimized. Unlike previous approaches, our method distributes the distortion in all spatial directions, even when the resizing operation is only applied horizontally or vertically, thus fully utilizing the available homogeneous regions to absorb the distortion. We develop an efficient formulation for the nonlinear optimization involved in the warping function computation, allowing interactive image resizing.

主出版物標題ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia'08
出版狀態Published - 2008
事件ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia 2008 - Singapore, Singapore
持續時間: 2008 12月 102008 12月 13


名字ACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia'08


OtherACM SIGGRAPH Asia 2008 Papers, SIGGRAPH Asia 2008

All Science Journal Classification (ASJC) codes

  • 電腦繪圖與電腦輔助設計
  • 電腦視覺和模式識別
  • 軟體


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