Towards a tone mapping-robust watermarking algorithm for high dynamic range image based on spatial activity

Abstract High dynamic range (HDR) imaging has received increasing attention due to its powerful capacity to represent real scenes as perceived by human eyes. However, studies on effective HDR image watermarking algorithms remain limited. In contrast to watermarking algorithms proposed for low dynamic range (LDR) images, several critical problems, such as the peculiar HDR floating-point number data format and various tone mapping operators (TMOs) that are widely used to adapt HDR images to conventional displays, need to be properly addressed. Hence, a novel HDR image watermarking algorithm robust against the effects of TMOs is proposed in this paper. Two important spatial activity concepts, i.e. the activity of robustness and activity of perception, are respectively defined to characterize the spatial diversity of the robustness and imperceptibility of tone-mapped images. Then, nonsubsampled contourlet transform and singular value decomposition are successively performed to extract the associated structural information which is invariable in HDR images and their corresponding tone-mapped images. In addition, hierarchical embedding intensity and a hybrid perceptual mask are designed to enhance the imperceptibility and robustness of the HDR image watermarking. Experiments with numerous HDR images and TMOs were conducted and the results show that the proposed algorithm is superior to the current state-of-the-art watermarking algorithms in terms of imperceptibility, robustness and embedding capacity.

[1]  Alan Chalmers,et al.  Evaluation of tone mapping operators using a High Dynamic Range display , 2005, SIGGRAPH 2005.

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

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

[4]  Lei Zhang,et al.  Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach , 2017, IEEE Transactions on Image Processing.

[5]  Erik Reinhard,et al.  Color appearance in high-dynamic-range imaging , 2006, J. Electronic Imaging.

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

[7]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[8]  Erik Reinhard,et al.  High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting , 2010 .

[9]  Minh N. Do,et al.  Ieee Transactions on Image Processing the Contourlet Transform: an Efficient Directional Multiresolution Image Representation , 2022 .

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

[11]  Robert Wanat,et al.  Evaluation of Tone Mapping Operators for HDR-Video , 2013, Comput. Graph. Forum.

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

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

[14]  Patrick Le Callet,et al.  HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images , 2014, J. Electronic Imaging.

[15]  Yongsheng Zhao,et al.  A dual color images watermarking scheme based on the optimized compensation of singular value decomposition , 2013 .

[16]  Hans-Peter Seidel,et al.  High Dynamic Range Imaging , 2015 .

[17]  Taha H. Rassem,et al.  Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics , 2016, IET Image Process..

[18]  J. M. Foley,et al.  Contrast masking in human vision. , 1980, Journal of the Optical Society of America.

[19]  Min Wang,et al.  Feature-Based Image Watermarking Algorithm Using SVD and APBT for Copyright Protection , 2017, Future Internet.

[20]  Erik Reinhard,et al.  Do HDR displays support LDR content?: a psychophysical evaluation , 2007, SIGGRAPH 2007.

[21]  David J. Griffiths,et al.  High Speed High Dynamic Range Video , 2017, IEEE Sensors Journal.

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

[23]  Patrizio Campisi,et al.  HDR image multi-bit watermarking using bilateral-filtering-based masking , 2013, Electronic Imaging.

[24]  David Zhang,et al.  FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.

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

[26]  Kurt Debattista,et al.  Advanced High Dynamic Range Imaging: Theory and Practice , 2011 .

[27]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[28]  Michael Wimmer,et al.  Evaluation of HDR tone mapping methods using essential perceptual attributes , 2008, Comput. Graph..

[29]  Patrick Le Callet,et al.  High Dynamic Range Video - From Acquisition, to Display and Applications , 2016 .

[30]  Chun-Hsien Chou,et al.  A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile , 1995, IEEE Trans. Circuits Syst. Video Technol..

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