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Effective image splicing detection based on image chroma
Wang, Wei; Dong, Jing; Tan, Tieniu
2009
Conference NameIEEE International Conference on Image Processing
Source PublicationProceedings of 2009 IEEE International Conference on Image Processing
Conference Date2009
Conference PlaceCairo
AbstractA color image splicing detection method based on gray level co-occurrence matrix (GLCM) of thresholded edge image of image chroma is proposed in this paper. Edge images are generated by subtracting horizontal, vertical, main and minor diagonal pixel values from current pixel values respectively and then thresholded with a predefined threshold T. The GLCMs of edge images along the four directions serve as features for image splicing detection. Boosting feature selection is applied to select optimal features and Support Vector Machine (SVM) is utilized as classifier in our approach. The effectiveness of the proposed method has been demonstrated by our experimental results.
KeywordImage Splicing Detection Image Chroma
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12308
Collection智能感知与计算研究中心
09年以前成果
Corresponding AuthorWang, Wei
Recommended Citation
GB/T 7714
Wang, Wei,Dong, Jing,Tan, Tieniu. Effective image splicing detection based on image chroma[C],2009.
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