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Seam Carving Based Image Resizing with New Seam Energy Function |
NIE Dong-Dong1, MA Qin-Yong2 |
1College of Sciences, Yanshan University, Qinhuangdao 066004) 2College of information Science and Engineering, Yanshan University, Qinhuangdao 066004 |
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Abstract The image quality of seam carving based image resizing method heavily depends on the definition of seam energy function and the result of seam extraction. A seam energy function is proposed to calculate the visual perception importance of each seam, in which an incremental energy term is defined to measure the local image aliasing after seam pixels are deleted, and a maximum pixel energy term is introduced to reduce the seam energy of random texture regions. The experimental results show that compared with several other classical methods, the proposed energy function have more reasonable location, its results are more similar to the original images, and it has fewer aliasing problems in the details of images key objects.
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Received: 24 September 2013
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