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A Feature-Preserving Image Retargeting Based on Multi-Energy Constraints

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Image retargeting is an important problem for wide range of content adaptation tasks. A number of approaches have been proposed in the literature, yet we propose a novel image retargeting method based on multi-energy constraints, which attempts to emphasize locally important areas while preserving image smoothness and structure. We obtain the target image by minimizing the distortion energy within which two novel objectives are introduced and one is improved. We design a new important map based on multi-energy to exactly describe important areas for emphasizing them, and a straight lines constraint to avoid distorting image edges. Our constraints induce much less distortion to important areas, especially to important image features such as edges, lines and object boundaries, distortion is also better scattered into different directions. The experiments on a set image chosen for their diverse photographic content and objects demonstrate that our method produces more visually pleasing results than previous alternatives.
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Document Type: Research Article

Publication date: February 1, 2011

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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