收稿日期: 2016-07-25
修回日期: 2016-08-16
网络出版日期: 2016-09-30
基金资助
国家自然科学基金（No.61373180，No.61461047）资助
Self-Recovery Watermarking for e-Invoice Image Based on Block Classification and RS Coding
Received date: 2016-07-25
Revised date: 2016-08-16
Online published: 2016-09-30
兼顾水印容量以及篡改图像的恢复效果，提出一种基于块分类编码的电子发票图像自恢复水印算法。根据电子发票的特性将图像块分为重要块、印章块、格式块和空白块4类。对图像块类型和非空白块二值化信息分别利用RS（1，3）和RS（2，3）进行编码生成恢复水印。根据恢复水印信息的大小，基于密钥将生成的恢复水印随机、依次嵌入印章块、格式块和空白块中。为尽可能降低水印容量，无需添加认证水印数据，利用类型码和非空白块恢复水印，同时完成对图像的篡改检测以及篡改恢复。与现有的用于自然图像的自恢复水印算法相比，在相同水印容量下能得到较好的恢复效果；对于同样的恢复效果，水印容量较小。在一般篡改和拼贴攻击下具有较好的认证和恢复能力。
魏巍, 和红杰, 陈帆 . 基于块分类编码的电子发票图像自恢复水印算法[J]. 应用科学学报, 2016 , 34(5) : 490 -502 . DOI: 10.3969/j.issn.0255-8297.2016.05.002
Taking into account watermark size and quality of recovered image that was tampered, this work proposes a self-recovery watermarking algorithm for e-invoice images based on block classification coding. Image blocks in a test e-invoice image are classified into four types: blocks containing important contents, seal, and invoice format information, and blank ones. The block types and the binary information of all non-blank blocks are coded with RS(1,3) and RS(2,3) respectively to generate a recovery watermark. Based on a key, the recovery watermark is randomly embedded into the blocks in an order of seal, format, and blank until all watermark data are used up. To minimize the size of watermark, the recovery watermark based on the type code and binary information code is used for both authentication and image recovery without additional authentication information. Compared with the recent self-recovery approaches for natural images, the proposed method gives better recovery quality with the same watermark size, and produces a smaller watermark with the same recovery quality, and has better performance both in tamper detection and image recovery against general tampering as well as collage attacks.
Key words： e-invoice; self-recovery watermarking; block classification; RS coding
[1] 国家税务总局. 关于印发《"互联网+税务"行动计划》的通知[EB/OL]. http://www.chinatax.gov.cn/n810341/n810755/c1843071/content.html.
[2] 人民网-财经频道. 解决电子发票"入账报销难"两会委员呼吁推进立法[EB/OL]. http:// finance.people.com.cn/n/2015/0309/c1004-26661164.html.
[3] 国家税务总局. 关于推行通过增值税电子发票系统开具的增值税电子普通发票有关问题的公告[EB/OL]. http://www.chinatax.gov.cn/n810341/n810755/c1919901/content.html.
[4] 冯杰南. 电子发票的改进、应用及其推广[J]. 现代商业,2012, 32: 65. Feng J N. The improvement application and promotion of the electronic invoice [J]. Modern Business Magazine, 2012, 32: 65. (in Chinese)
[5] 郭蕾,暴楠.电子发票的发展分析[J].财会信息化,2012,6: 62-63. Guo L, Bao N. Electronic invoice development analysis [J]. Accounting Information, 2012, 6: 62-63. (in Chinese)
[6] Jiann D L, Yaw H C, Tao Y. Lossless data hiding for VQ indices based on neighboring correlation [J]. Information Science, 2013, 221: 419-438.
[7] He H J, Zhang J S. Self-recovery fragile watermarking using block-neighborhood tampering characterization[C]//Information Hiding, International Workshop, 2009: 132-145.
[8] Zhang X P, Qian Z X, Ren G R. Watermarking with flexible self-recovery quality based on compressive sensing and compositive reconstruction [J]. IEEE Transactions on Information Forensics and Security, 2011, 6(4): 1223-1232.
[9] Qin C, Chang C C, Chen K N. Adaptive self-recovery for tampered images based on VQ indexing and inpainting [J]. Signal Processing, 2013, 93(4): 933-946.
[10] Pawel K, Andrzej D. Adaptive self-embedding scheme with controlled reconstruction performance[J]. IEEE Transactions on Information Forensics and Security, 2014, 9(2): 169-181.
[11] Qian Z X, Feng G R, Zhang X P. Image self-embedding with high-quality restoration capability[J]. Digital Signal Processing: a Review Journal, 2011, 21(2): 278-286
[12] 石慧,李明楚. 安全的变容量恢复水印方案[J]. 计算机研究与发展,2014, 51(8): 1715-1726. Shi H, Li M C. Safe variable-capacity self-recovery watermarking scheme [J]. Journal of Computer Research and Development, 2014, 51(8): 1715-1726. (in Chinese)
[13] 陈帆,和红杰,王宏霞.用于图像认证的变容量恢复水印算法[J]. 计算机学报,2012, 35(1): 154-162. Chen F, He H J, Wang H X. Variable-payload self-recovery watermarking scheme for digital image [J]. Chinese Journal of Computers, 2012, 35(1): 154-162. (in Chinese)
[14] Saeed S, Mohammad A A. A Source-channel coding approach to digital image protection and self-recovery [J]. IEEE Transactions on Image Processing, 2015, 24(7): 2266-2277.
[15] He H J, Zhang J S, Chen F. Performance analysis of a block-neighborhood-based self-recovery fragile watermarking scheme [J]. IEEE Transactions on Information Forensics and Security, 2012, 7(1): 185-196.
[16] Qian Z X, Feng G R. Inpainting assisted self recovery with decreased embedding data [J]. IEEE Signal Processing Letters, 2010, 17(11): 929-932.
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