Title :
Effective image splicing detection based on image chroma
Author :
Wang, Wei ; Dong, Jing ; Tan, Tieniu
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Abstract :
A 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.
Keywords :
edge detection; image colour analysis; support vector machines; boosting feature selection; color image splicing detection method; gray level co-occurrence matrix; image chroma; optimal features selection; support vector machine; thresholded edge image; Boosting; Color; Computer vision; DC generators; Image edge detection; Image generation; Pixel; Splicing; Support vector machine classification; Support vector machines; SVM; boosting feature selection; co-occurrence matrix; image chroma; image splicing detection;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413549
