Histogram and entropy based digital image watermarking scheme

In today’s era, Fortifying robustness and imperceptibility of digital watermarking has become non trivial. In this paper, a digital image watermarking algorithm based on entropy of blocks and histogram is proposed to improve imperceptibility. In this, first host image is divided into blocks and then blocks are culled on the basis of entropy value for watermark embedding. After that, watermark is embedded into selected blocks by using histogram shape method. Histogram shape method divides selected blocks into groups and further locations of pixels within groups are identified for watermark embedding. Histogram shape method makes algorithm more robust against attacks. The integration of block based histogram shape approach and entropy makes algorithm more imperceptible. Experiment results demonstrate that proposed method has an excellent imperceptibility. Proposed method also resists against noise and scaling attacks.

[1]  Ambar Dutta,et al.  A novel spatial domain technique for digital image watermarking using block entropy , 2016, 2016 International Conference on Recent Trends in Information Technology (ICRTIT).

[2]  Rumaan Bashir,et al.  A block based watermarking approach for color images using discrete wavelet transformation , 2018 .

[3]  M. Gobi,et al.  An extensive research on robust digital image watermarking techniques: a review , 2015 .

[4]  Song Guo,et al.  Robust Histogram Shape-Based Method for Image Watermarking , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[6]  Navdeep Goel,et al.  Entropy based image watermarking using discrete wavelet transform and singular value decomposition , 2016, 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom).

[7]  Wei Li,et al.  Information Entropy Used in Digital Watermarking , 2012, 2012 Symposium on Photonics and Optoelectronics.

[8]  Athanassios N. Skodras,et al.  Hybrid watermarking based on chaos and histogram modification , 2014, Signal Image Video Process..

[9]  Atal Chaudhuri,et al.  An improved video key-frame extraction algorithm leads to video watermarking , 2018 .

[10]  Jeetendra Pande,et al.  Watermarking of audio signals using iris data for protecting intellectual property rights of multiple owners , 2018 .

[11]  Musheer Ahmad,et al.  An image encryption approach using particle swarm optimization and chaotic map , 2018 .

[12]  Xuelong Li,et al.  Local histogram based geometric invariant image watermarking , 2010, Signal Process..

[13]  Yong Xiang,et al.  Histogram shape-based robust image watermarking method , 2014, 2014 IEEE International Conference on Communications (ICC).

[14]  Kuo-Kun Tseng,et al.  Adaptive audio watermarking via the optimization point of view on the wavelet-based entropy , 2013, Digit. Signal Process..

[15]  Rangachar Kasturi,et al.  Machine vision , 1995 .

[16]  Abduljabbar Shaamala,et al.  The Effect of DCT and DWT Domains on the Robustness of Genetic Watermarking , 2011 .

[17]  Kevin Curran,et al.  A novel approach to digital watermarking, exploiting colour spaces , 2012, Signal Process..

[18]  Amit Kumar Singh,et al.  Robust and imperceptible image watermarking in DWT-BTC domain , 2016, Int. J. Electron. Secur. Digit. Forensics.

[19]  Mayank Arya Chandra,et al.  Survey on SVM and their application in image classification , 2018 .

[20]  Tao Zhu,et al.  A geometrical attack resistant image watermarking algorithm based on histogram modification , 2015, Multidimens. Syst. Signal Process..

[21]  Jiwu Huang,et al.  Histogram-based image hashing scheme robust against geometric deformations , 2007, MM&Sec.

[22]  V. Vijayalakshmi,et al.  Multilevel watermarking technique for securing multibiometric templates using DTCWT and SVD , 2017 .

[23]  A. Gebejes,et al.  Texture Characterization based on Grey-Level Co-occurrence Matrix , 2013 .