Robust high dynamic range color image watermarking method based on feature map extraction

Abstract In order to protect the copyright of high dynamic range (HDR) images, a novel watermarking method based on feature map extraction is proposed. Since the HDR image provides wide dynamic ranges of visible luminance, the correlations of the three RGB channels are much stronger than those of neighbor pixels. In order to preserve strong relationships of the three color channels, the Tucker decomposition is used to divide the HDR color image along the three color channels so that three feature maps are extracted. The first feature map of the three feature maps is employed to embed watermark for robustness, because it contains most of the energies in the HDR image. The first feature map is divided into non-overlapping blocks, and the Schur decomposition is operated on each block to generate a unitary matrix. Since the texture or edge remains after the tone mapping operation (TMO) of the HDR image, the stable size relation between the pair-wise coefficients in the unitary matrix is established to embed watermark. The experimental results show that the proposed method can efficiently resist different TMOs and common image attacks, outperforming other existing HDR image watermarking methods.

[1]  Wolfgang Heidrich,et al.  HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions , 2011, SIGGRAPH 2011.

[2]  Masahiro Okuda,et al.  High Dynamic Range Image Watermarking Robust Against Tone-Mapping Operators , 2011, IEEE Transactions on Information Forensics and Security.

[3]  Mark D. Fairchild,et al.  iCAM06: A refined image appearance model for HDR image rendering , 2007, J. Vis. Commun. Image Represent..

[4]  Jan Kautz,et al.  Consistent tone reproduction , 2008 .

[5]  Sumanta N. Pattanaik,et al.  Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images , 2003, The Visual Computer.

[6]  Patrick Le Callet,et al.  Tone mapping based HDR compression: Does it affect visual experience? , 2014, Signal Process. Image Commun..

[7]  Jiasong Wu,et al.  Robust watermarking scheme for color image based on quaternion-type moment invariants and visual cryptography , 2016, Signal Process. Image Commun..

[8]  Kuo-Chen Wu,et al.  A distortion-free data hiding scheme for high dynamic range images , 2011, Displays.

[9]  Gangyi Jiang,et al.  BLIQUE-TMI: Blind Quality Evaluator for Tone-Mapped Images Based on Local and Global Feature Analyses , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[10]  Kai Wang,et al.  Adaptive spread transform QIM watermarking algorithm based on improved perceptual models , 2013 .

[11]  Millie Pant,et al.  A robust image watermarking technique using SVD and differential evolution in DCT domain , 2014 .

[12]  Azzedine Boukerche,et al.  Design of traffic sign detection, recognition, and transmission systems for smart vehicles , 2013, IEEE Wireless Communications.

[13]  Touradj Ebrahimi,et al.  HDR image compression: A new challenge for objective quality metrics , 2014, 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX).

[14]  Patrizio Campisi,et al.  Robust multi-bit watermarking for HDR images in the Radon-DCT domain , 2013, 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA).

[15]  Karol Myszkowski,et al.  Adaptive Logarithmic Mapping For Displaying High Contrast Scenes , 2003, Comput. Graph. Forum.

[16]  Jiasong Wu,et al.  Fractional Krawtchouk Transform With an Application to Image Watermarking , 2017, IEEE Transactions on Signal Processing.

[17]  Suk Hwan Lee,et al.  DWT based coding DNA watermarking for DNA copyright protection , 2014, Inf. Sci..

[18]  Kurt Debattista,et al.  A framework for inverse tone mapping , 2007, The Visual Computer.

[19]  Woei Lin,et al.  A Novel Data Hiding Algorithm for High Dynamic Range Images , 2017, IEEE Transactions on Multimedia.

[20]  Jiantao Zhou,et al.  A Review of Compressive Sensing in Information Security Field , 2016, IEEE Access.

[21]  Satoshi Goto,et al.  Watermarking for HDR Image Robust to Tone Mapping , 2011, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[22]  Patrizio Campisi,et al.  HDR image watermarking based on bracketing decomposition , 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

[23]  Jiunn-Lin Wu,et al.  Robust Watermarking Framework for High Dynamic Range Images Against Tone-Mapping Attacks , 2012 .

[24]  Fengxia Zhang,et al.  A New Double Color Image Watermarking Algorithm Based on the SVD and Arnold Scrambling , 2016, J. Appl. Math..

[25]  Asha Rani,et al.  An image copyright protection scheme by encrypting secret data with the host image , 2014, Multimedia Tools and Applications.

[26]  Michael Ashikhmin,et al.  A Tone Mapping Algorithm for High Contrast Images , 2002, Rendering Techniques.

[27]  Vishal Monga,et al.  A Maximum a Posteriori Estimation Framework for Robust High Dynamic Range Video Synthesis , 2016, IEEE Transactions on Image Processing.

[28]  Yugang Niu,et al.  Embedding color watermarks in color images based on Schur decomposition , 2012 .

[29]  Donald P. Greenberg,et al.  A model of visual adaptation for realistic image synthesis , 1996, SIGGRAPH.

[30]  Pingzhi Fan,et al.  An Efficient Watermarking Method Based on Significant Difference of Wavelet Coefficient Quantization , 2008, IEEE Transactions on Multimedia.

[31]  Lidija Mandic,et al.  Discrete Fourier transform-based watermarking method with an optimal implementation radius , 2011, J. Electronic Imaging.

[32]  KokSheik Wong,et al.  An Overview of Information Hiding in H.264/AVC Compressed Video , 2014, IEEE Transactions on Circuits and Systems for Video Technology.

[33]  Gangyi Jiang,et al.  Learning Sparse Representation for Objective Image Retargeting Quality Assessment , 2018, IEEE Transactions on Cybernetics.

[34]  Chin-Chen Chang,et al.  A new distortion-free data embedding scheme for high-dynamic range images , 2014, Multimedia Tools and Applications.

[35]  Gangyi Jiang,et al.  Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment , 2018, IEEE Transactions on Multimedia.

[36]  Y. Salih,et al.  Tone mapping of HDR images: A review , 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).

[37]  Ting Luo,et al.  Stereo Matching Based Stereo Image Watermarking for Tamper Detection and Recovery , 2014, Int. J. Comput. Intell. Syst..

[38]  Gregory J. Ward,et al.  The RADIANCE lighting simulation and rendering system , 1994, SIGGRAPH.

[39]  Christophe Schlick,et al.  Quantization Techniques for Visualization of High Dynamic Range Pictures , 1995 .

[40]  Bin Ma,et al.  Reversible data hiding: Advances in the past two decades , 2016, IEEE Access.

[41]  Marco Botta,et al.  A modular framework for color image watermarking , 2016, Signal Process..

[42]  Salah Bourennane,et al.  Dimensionality Reduction Based on Tensor Modeling for Classification Methods , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[43]  Karel Fliegel,et al.  Preference of Experience in Image Tone-Mapping: Dataset and Framework for Objective Measures Comparison , 2017, IEEE Journal of Selected Topics in Signal Processing.

[44]  Holly E. Rushmeier,et al.  Tone reproduction for realistic images , 1993, IEEE Computer Graphics and Applications.

[45]  Jianmin Jiang,et al.  Tucker decomposition-based tensor learning for human action recognition , 2015, Multimedia Systems.

[46]  Patrizio Campisi,et al.  Multi-bit watermarking of high dynamic range images based on perceptual models , 2016, Secur. Commun. Networks.

[47]  David R. Bull,et al.  High Dynamic Range Video Compression Exploiting Luminance Masking , 2016, IEEE Transactions on Circuits and Systems for Video Technology.

[48]  Patrizio Campisi,et al.  High-capacity watermarking of high dynamic range images , 2016, EURASIP J. Image Video Process..

[49]  Xinpeng Zhang,et al.  Fragile image watermarking with pixel-wise recovery based on overlapping embedding strategy , 2017, Signal Process..

[50]  Yu-Ming Cheng,et al.  A Novel Approach to Steganography in High- Dynamic-Range Images , 2009, IEEE MultiMedia.

[51]  Zeev Farbman,et al.  Interactive local adjustment of tonal values , 2006, SIGGRAPH 2006.

[52]  Chung-Ming Wang,et al.  A DATA HIDING SCHEME FOR HIGH DYNAMIC RANGE IMAGES , 2011 .

[53]  Erik Reinhard,et al.  Photographic tone reproduction for digital images , 2002, ACM Trans. Graph..

[54]  Gang Wang,et al.  Color image blind watermarking scheme based on QR decomposition , 2014, Signal Process..

[55]  Rui Wang,et al.  A robust color image watermarking algorithm against rotation attacks , 2018 .

[56]  Javaid A. Sheikh,et al.  Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing , 2016, Digit. Signal Process..

[57]  Yu Zhang,et al.  Robust watermarking using orthogonal Fourier-Mellin moments and chaotic map for double images , 2016, Signal Process..

[58]  J. H. van Hateren,et al.  Encoding of high dynamic range video with a model of human cones , 2006, TOGS.