4.5 Article

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

期刊

SIGNAL PROCESSING-IMAGE COMMUNICATION
卷 65, 期 -, 页码 187-200

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.image.2018.04.005

关键词

High dynamic range imaging; Digital watermarking; Tone mapping; Spatial activity

资金

  1. Natural Science Foundation of China [U1301257, 61671258, 61620106012]
  2. National High-tech R&D Program of China [2015AA015901]
  3. Natural Science Foundation of Zhejiang Province [LY15F010005, LY16F010002]
  4. K.C. Wong Magna Fund of Ningbo University

向作者/读者索取更多资源

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.

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