English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 13863970      Online Users : 51
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTHU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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 Perceptual Geometric Distortion and Information Loss


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83643


    Title: Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss
    Authors: Chih-Chung Hsu;Chia-Wen Lin;Yuming Fang;Weisi Lin
    教師: 林嘉文
    Date: 2014
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: IEEE Journal of Selected Topics in Signal Processing, Institute of Electrical and Electronics Engineers, Volume 8, Issue 3, June 2014, Pages 377-389
    Keywords: Geometric distortion
    SIFT flow
    image retargeting
    quality assessment
    quality evaluation
    Abstract: Image retargeting techniques aim to obtain retargeted images with different sizes or aspect ratios for various display screens. Various content-aware image retargeting algorithms have been proposed recently. However, there is still no effective objective metric for visual quality assessment of retargeted images. In this paper, we propose a novel full-reference objective metric for assessing visual quality of a retargeted image based on perceptual geometric distortion and information loss. The proposed metric measures the geometric distortion of a retargeted image based on the local variance of SIFT flow vector fields of the image. Furthermore, a visual saliency map is derived to characterize human perception of the geometric distortion. Besides, the information loss in the retargeted image, which is estimated based on the saliency map, is also taken into account in the proposed metric. Subjective tests are conducted to evaluate the performance of the proposed metric. Our experimental results show the good consistency between the proposed objective metric and the subjective rankings.
    Relation Link: http://www.ieee.org/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/83643
    Appears in Collections:[電機工程學系] 期刊論文
    [光電研究中心] 期刊論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1191View/Open


    在NTHUR中所有的資料項目都受到原著作權保護,僅提供學術研究及教育使用,敬請尊重著作權人之權益。若須利用於商業或營利,請先取得著作權人授權。
    若發現本網站收錄之內容有侵害著作權人權益之情事,請權利人通知本網站管理者(smluo@lib.nthu.edu.tw),管理者將立即採取移除該內容等補救措施。

    SFX Query

    與系統管理員聯絡

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback