Detecting Double JPEG Compressed Color Images with the Same Quantization Matrix in Spherical Coordinates
Document Type
Article
Publication Date
8-1-2020
Abstract
Detection of double Joint Photographic Experts Group (JPEG) compression is an important part of image forensics. Although methods in the past studies have been presented for detecting the double JPEG compression with a different quantization matrix, the detection of double JPEG compression with the same quantization matrix is still a challenging problem. In this paper, an effective method to detect the recompression in the color images by using the conversion error, rounding error, and truncation error on the pixel in the spherical coordinate system is proposed. The randomness of truncation errors, rounding errors, and quantization errors result in random conversion errors. The pixel number of the conversion error is used to extract six-dimensional features. Truncation error and rounding error on the pixel in its three channels are mapped to the spherical coordinate system based on the relation of a color image to the pixel values in the three channels. The former is converted into amplitude and angles to extract 30-dimensional features and 8-dimensional auxiliary features are extracted from the number of special points and special blocks. As a result, a total of 44-dimensional features have been used in the classification by using the support vector machine (SVM) method. Thereafter, the support vector machine recursive feature elimination (SVMRFE) method is used to improve the classification accuracy. The experimental results show that the performance of the proposed method is better than the existing methods.
Identifier
85089463185 (Scopus)
Publication Title
IEEE Transactions on Circuits and Systems for Video Technology
External Full Text Location
https://doi.org/10.1109/TCSVT.2019.2922309
e-ISSN
15582205
ISSN
10518215
First Page
2736
Last Page
2749
Issue
8
Volume
30
Grant
61402235
Fund Ref
National Natural Science Foundation of China
Recommended Citation
    Wang, Jinwei; Wang, Hao; Li, Jian; Luo, Xiangyang; Shi, Yun Qing; and Jha, Sunil Kumar, "Detecting Double JPEG Compressed Color Images with the Same Quantization Matrix in Spherical Coordinates" (2020). Faculty Publications.  5124.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/5124
    
 
				 
					