Journal of Software:2017.28(7):1835-1846

(武汉大学 印刷与包装系, 湖北 武汉 430072;中国摄影文化产业研究中心 武汉大学, 湖北 武汉 430072;湘潭大学 信息工程学院, 湖南 湘潭 411105)
Copy-Move Forgery Detection for Pre-Printing Image Using Digital Halftoning Technology
XIE Wei,WAN Xiao-Xia,YE Song-Tao,JIN Guo-Nian
(School of Printing and Packaging, Wuhan University, Wuhan 430072, China;China Research Center for Photographic Culture Industry Wuhan University, Wuhan 430072, China;The College of Information Engineering, Xiangtan University, Xiangtan 411105, China)
Chart / table
Similar Articles
Article :Browse 1718   Download 1008
Received:July 21, 2015    Revised:March 18, 2016
> 中文摘要: 印前图像特指图像数字排版经编辑确认后的数字印刷样张,其以栅格处理器分色后的加网二进制形式存储.数字样张一经确认,其来源的合法性便不受怀疑.但是,从印刷的整体流程来看,数字样张的存储、传输过程中仍有较大的篡改风险.现有的复制移动篡改检测算法存在特征维度高、计算开销大或检测率较低等问题,而且不适用于分色后的二进制样张.提出了一种基于半色调图像网点密度特征的Copy-Move篡改检测方法,该方法对分色处理后的CMYK目标图像进行半色调二值量化处理,采用滑动分块的方法对目标图像进行分块,通过提取图像块CMYK这4个通道的局部网点密度特征对图像块进行篡改检测.实验结果表明,该方法在图像篡改检测上与以往方法相比具有较低的时间复杂度和较高的检测率,并且对图像篡改区域的旋转攻击、小尺度缩放攻击等具有较好的鲁棒性.
Abstract:Pre-Printing image is referred to as digital print proof validated by copy-editor. This type of image is stored in binary screened form after being processed by raster image processor (RIP). It has indubitable legitimacy once the digital print proof is finalized. Looking at the overall printing flow, however, pre-printing images are still at the risk of malicious tampering in the storage and transmission process. Most of existing copy-move forgery detection methods employing high dimensional feature vector have high computational complexity, thus are not applicable to color separated binary screened proofs. In this paper, a new approach for copy-move forgery detection is proposed based on digital halftoning technology. The original image is binarized via digital halftoning technique in CMYK color space, which is similar to raster image processor. Then the halftone image is tiled to overlapping blocks, and the local screen density features of halftone overlapping blocks in CMYK channels are extracted for copy-move forgery detection. Experimental results demonstrate that the proposed method is able to detect copy-move forgery regions precisely, and it is robust to rotation and small scale zooming attacks to forgery regions.
文章编号:     中图分类号:    文献标志码:
基金项目:国家自然科学基金(61275172);国家重点基础研究发展计划(973)(2012CB725302);湖南省教育厅一般项目(15C1324) 国家自然科学基金(61275172);国家重点基础研究发展计划(973)(2012CB725302);湖南省教育厅一般项目(15C1324)
Foundation items:National Natural Science Foundation of China (61275172); National Grand Fundamental Research 973 Program of China (2012CB725302); Foundation of Hu’nan Educational Committee (15C1324)
Reference text:


XIE Wei,WAN Xiao-Xia,YE Song-Tao,JIN Guo-Nian.Copy-Move Forgery Detection for Pre-Printing Image Using Digital Halftoning Technology.Journal of Software,2017,28(7):1835-1846