An Improved Watermarking Technique for Copyright Protection Based on Tchebichef Moments

被引:32
作者
Ernawan, Ferda [1 ]
Kabir, Muhammad Nomani [1 ]
机构
[1] Univ Malaysia Pahang, Fac Comp Syst & Software Engn, Kuantan 26300, Malaysia
关键词
Watermarking; Robustness; Entropy; Discrete wavelet transforms; Discrete cosine transforms; Transform coding; copyright protection; embedding algorithm; tchebichef moments; visual entropies; DISCRETE WAVELET TRANSFORM; ROBUST IMAGE WATERMARKING; SINGULAR-VALUE DECOMPOSITION; DWT-SVD; SCHEME;
D O I
10.1109/ACCESS.2019.2948086
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Watermarking technique is a method to protect ownership of digital multimedia. Most existing watermarking techniques achieve a good level of imperceptibility and robustness. The challenges to achieve higher invisibility and resistance with lower computational time motivate researchers to work on new watermarking schemes. Robustness against noise attacks and JPEG2000 compression needs to be improved to acquire a better resistance capability of the watermark. In this paper, we present a block-based Tchebichef watermarking technique for protecting copyrights. In this technique, the host image is first divided into non-overlapping blocks and Tchebichef moments are calculated for each block. The watermarks are embedded into the blocks with lower visual entropies. The watermark image is scrambled by Arnold transform before embedding into the Tchebichef moments of the selected image blocks. The proposed watermarking scheme was tested under noise additions, filtering, cropping and compressing attacks. Our scheme was verified and compared to the existing watermarking techniques under image geometric and processing attacks. Furthermore, the proposed scheme demonstrated a superior performance in robustness under noise attacks and JPEG2000.
引用
收藏
页码:151985 / 152003
页数:19
相关论文
共 26 条
[1]   Comments on "Optimized gray-scale image watermarking using DWT-SVD and Firefly Algorithm" [J].
Ali, Musrrat ;
Ahn, Chang Wook .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (05) :2392-2394
[2]   A novel blind robust image watermarking in DCT domain using. inter-block coefficient correlation [J].
Das, Chinmayee ;
Panigrahi, Swetalina ;
Sharma, Vijay K. ;
Mahapatra, K. K. .
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, 2014, 68 (03) :244-253
[3]  
Ernawan Ferda, 2016, 2016 2nd International Conference on Science and Technology - Computer (ICST). Proceedings, P6, DOI 10.1109/ICSTC.2016.7877339
[4]  
Ernawan F, 2019, International Journal of Electrical and Computer Engineering, V9, P1850
[5]   Bit allocation strategy based on Psychovisual threshold in image compression [J].
Ernawan, Ferda ;
Kabir, Muhammad Nomani ;
Zain, Jasni Mohamad .
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (11) :13923-13946
[6]   A Robust Image Watermarking Technique With an Optimal DCT-Psychovisual Threshold [J].
Ernawan, Ferda ;
Kabir, Muhammad Nomani .
IEEE ACCESS, 2018, 6 :20464-20480
[7]   An efficient image compression technique using Tchebichef bit allocation [J].
Ernawan, Ferda ;
Kabir, Nomani ;
Zamli, Kamal Zuhairi .
OPTIK, 2017, 148 :106-119
[8]  
Lagzian S., 2011, P 2011 INT S ART INT, P48, DOI [10.1109/AISP.2011.5960985, DOI 10.1109/AISP.2011.5960985]
[9]   An improved SVD-based watermarking scheme using human visual characteristics [J].
Lai, Chih-Chin .
OPTICS COMMUNICATIONS, 2011, 284 (04) :938-944
[10]  
Li J, 2014, INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014), P365