Optimized scale-and-stretch for image resizing

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…

• NS
  National Science Council

  Award: NSC-95-2221-E-006-193-MY2NSC-96-2628-E-006-200-MY3NSC-97-2628-E-006-125-MY3
• RG
  Research Grants Council, University Grants Committee

  Award: 620107
• NC
  National Cheng Kung University