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A deep learning-based steganography method for high dynamic range images

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Abstract

High dynamic range (HDR) images have recently drawn much attention in multimedia community. In this paper, we proposed an HDR image steganography method based on deep learning, which is for HDR images with OpenEXR format. To the best of our knowledge, this is the first steganography method that applies deep learning to HDR image steganography, and the first steganography method that hides images in HDR images. The LDR secret image is hidden in the mantissa of the HDR cover image of the same size through a hidden network, and recovered through an extraction network in the receiver. Experimental results show that the proposed algorithm has advantages in security, robustness and capacity compared with other “hiding image in image” algorithms.

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  1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Yongqing Huo, Yan Qiao & Yaohui Liu

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  1. Yongqing Huo
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  2. Yan Qiao
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Contributions

Yongqing Huo gave guidance to the idea and experiments and is one of the main manuscript writers. Yan Qiao designed and conducted most of the experiments. YaoHui Liu helped to complete the experiments and revise some of the manuscript.

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Correspondence to Yongqing Huo.

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Huo, Y., Qiao, Y. & Liu, Y. A deep learning-based steganography method for high dynamic range images. Vis Comput (2024). https://doi.org/10.1007/s00371-023-03214-0

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