National Tsing Hua University Institutional Repository:Objective Quality Assessment for Image Retargeting Based on Structural Similarity
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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Objective Quality Assessment for Image Retargeting Based on Structural Similarity


    题名: Objective Quality Assessment for Image Retargeting Based on Structural Similarity
    作者: Yuming Fang;Kai Zeng;Zhou Wang;Weisi Lin;Zhijun Fang;Chia-Wen Lin
    教師: 林嘉文
    日期: 2014
    出版者: Institute of Electrical and Electronics Engineers
    關聯: IEEE Journal of Emerging and Selected Topics in Circuits and Systems, Institute of Electrical and Electronics Engineers, Volume 4, Issue 1, March 2014, Pages 95-105
    关键词: Image quality assessment
    image retargeting
    image saliency
    structural similarity
    摘要: We propose an objective quality assessment method for image retargeting. The key step in our approach is to generate a structural similarity (SSIM) map that indicates at each spatial location in the source image how the structural information is preserved in the retargeted image. A spatial pooling method employing both bottom-up and top-down visual saliency estimations is then applied to provide an overall evaluation of the retargeted image. To evaluate the performance of the proposed IR-SSIM algorithm, we created an image database that contains images produced by different retargeting algorithms and carried out subjective tests to assess the quality of the retargeted images. Our experimental results show that IR-SSIM is better correlated with subjective evaluations than existing methods in the literature. To further demonstrate the advantages and potential applications of IR-SSIM, we embed it into a multi-operator image retargeting process, which generates visually appealing retargeting results.
    显示于类别:[電機工程學系] 期刊論文
    [光電研究中心] 期刊論文


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