caa a22 4500 605447993 CHVBK 20210128100134.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s11042-014-1868-7 doi (NATIONALLICENCE)springer-10.1007/s11042-014-1868-7 In-camera JPEG compression detection for doubly compressed images [Elektronische Daten] [Rong Zhang, Rang-Ding Wang] An illicit photography work can be exposed by its unusual compression history. Our work aims at revealing the primary JPEG compression of a camera image especially when it has undergone an out-camera JPEG compression. The proposed method runs a recompression operator on a given image using a chosen software tool (MATLAB). We measure the JPEG error between the given image and the recompressed version in the Y, Cb and Cr color channels. The in-camera compression can be easily identified by drawing the JPEG error curves. In this paper a simple and high effective method is presented for automatically detecting the compression history of an image. For a doubly compressed image, the proposed method can give the historical compression sequence with the corresponding quality factors and determine whether the first compression is the in-camera compression. Experimental results, carried out on two datasets, show that the proposed method can yield satisfactory detection accuracy, over 96 % accuracy rate for in-camera compression and no false positives with a block size of 512 × 512. The proposed method has universality. It can be applied to multi-compression detection and is robust to different sources of out-camera compression, e.g. Adobe Photoshop. This makes it more practical compared to the previous methods of double compression. Springer Science+Business Media New York, 2014 Digital image forensics nationallicence In-camera compression nationallicence Double JPEG compression detection nationallicence Quantization tables nationallicence Zhang Rong Ningbo University, No.818 Fenghua road, 315211, Ningbo, Zhejiang Province, China aut Wang Rang-Ding Ningbo University, No.818 Fenghua road, 315211, Ningbo, Zhejiang Province, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5557-5575 1380-7501 74:15<5557 2015 74 11042 https://doi.org/10.1007/s11042-014-1868-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-1868-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Zhang Rong Ningbo University, No.818 Fenghua road, 315211, Ningbo, Zhejiang Province, China aut NATIONALLICENCE 700 1- Wang Rang-Ding Ningbo University, No.818 Fenghua road, 315211, Ningbo, Zhejiang Province, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/15(2015-08-01), 5557-5575 1380-7501 74:15<5557 2015 74 11042