English  |  正體中文  |  简体中文  |  Items with full text/Total items : 54367/62174 (87%)
Visitors : 14760009      Online Users : 104
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 > 資訊工程學系 > 會議論文  >  Source Camera Identification Based on Camera Gain Histogram

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/14026

    Title: Source Camera Identification Based on Camera Gain Histogram
    Authors: Sz-Han Chen
    Chiou-Ting Hsu
    Date: 2007
    Publisher: Institute of Electrical and Electronics Engineers Inc
    Keywords: cameras
    feature extraction
    support vector machines
    camera gain histogram
    camera noise model
    high-end digital camera
    photon transfer curve
    source camera identification
    support vector machine
    Abstract: In this paper, we propose a novel approach for source camera identification based on camera gain histogram. By using the photon transfer curve (PTC) as camera noise model, we construct camera gain histogram from the occurrences of different camera gain constants. With the distribution of camera gain histogram for each camera, we extract four features to characterize the camera. In our experiments, 400 photos acquired from two high-end digital cameras at two different exposure levels are used to evaluate the effectiveness of the proposed approach. A two-class support vector machine (SVM) is employed as a classifier. Our experimental results demonstrate that the distinction rate in identifying different cameras achieves promising performance.
    Relation Link: http://webservices.ieee.org/pindex_basic.html
    URI: http://nthur.lib.nthu.edu.tw/handle/987654321/14026
    Appears in Collections:[資訊工程學系] 會議論文
    [資訊系統與應用研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    2030231030023.pdf496KbAdobe PDF1026View/Open


    SFX Query


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