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Volume 43 Issue 4
Apr.  2021
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Jia CUI, Lei SONG, Hongju LU, Mingxi TANG, Meng QI. Continuous Seam Carving Algorithm Based on Just Noticeable Distortion Algorithm in Image Retargeting[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1014-1021. doi: 10.11999/JEIT191050
Citation: Jia CUI, Lei SONG, Hongju LU, Mingxi TANG, Meng QI. Continuous Seam Carving Algorithm Based on Just Noticeable Distortion Algorithm in Image Retargeting[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1014-1021. doi: 10.11999/JEIT191050

Continuous Seam Carving Algorithm Based on Just Noticeable Distortion Algorithm in Image Retargeting

doi: 10.11999/JEIT191050
Funds:  The National Natural Science Foundation of China (61902225, 61502285), The Natural Science Foundation of Shandong Province (ZR2014FQ013)
  • Received Date: 2019-12-30
  • Rev Recd Date: 2020-10-23
  • Available Online: 2020-12-11
  • Publish Date: 2021-04-20
  • Image retargeting technologies require important information preservation and less edge distortion during increasing/decreasing image size. The seam carving based algorithms, as the classic retargeting model, receive widespread attention in recent years. However, because of the discrete least energy seam searching strategy, the retargeting information can not be passed generation by generation, which causes retargeting distortions to prevail. To solve this problem, the Just Noticeable Distortion (JND) algorithm is proposed to detect the potential distribution of distortion information. Through the proposed energy weight Ew, the JND information can be passed to the following retargeting iteration for distortion reduction. According to the best knowledge, it is the first time to propose the seam carving algorithm in continuous way by the JND algorithm and energy weight, are the promising results also demonstrated compared with several new approaches at public database ‘Retarget Me’, qualitatively and quantitatively.
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