Multi-operator image retargeting based on automatic quality assessment

Zhongyan Qiu, Tongwei Ren, Yan Liu, Jia Bei, Yang Yang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, no single image retargeting method can handle all cases. In this paper, we propose a novel multi-operator image retargeting approach, which utilizes an efficient and human perception based automatic quality assessment in operator selection. First, we calculate the importance map and distortion map for quality assessment. Then, we construct the resizing space and assess the performance of each operator in iterative width and/or height reduction. Finally, we select the optimal operator sequence by dynamic programming and generate the target image. Experiments demonstrate the effectiveness of the proposed approach.
Original languageEnglish
Title of host publicationProceedings - 2013 7th International Conference on Image and Graphics, ICIG 2013
Number of pages6
Publication statusPublished - 1 Dec 2013
Event2013 7th International Conference on Image and Graphics, ICIG 2013 - Qingdao, Shandong, China
Duration: 26 Jul 201328 Jul 2013


Conference2013 7th International Conference on Image and Graphics, ICIG 2013
CityQingdao, Shandong


  • Automatic quality assessment
  • Image retargeting
  • Multi-operator retargeting

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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