High-dynamic range (HDR) images are circulated rapidly over the internet with risks of being exploited for unauthorized usage. To protect these images, some HDR image based watermarking (HDR-IW) methods were put forward. However, they inherited the same problem faced by conventional IW methods for standard dynamic range (SDR) images, where only trade-offs among conflicting requirements are managed instead of simultaneous improvement. In this paper, a novel saliency (eye-catching object) detection based trade-off independent HDR-IW is proposed, to simultaneously improve robustness, imperceptibility and payload. First, the host image goes through our proposed salient object detection model to produce a saliency map, which is, in turn, exploited to segment the foreground and background of the host image. Next, the binary watermark is partitioned into the foregrounds and backgrounds using the same mask and scrambled using a random permutation algorithm. Finally, the watermark segments are embedded into selected bit-plane of the corresponding host segments using quantized indexed modulation. Experimental results suggest that the proposed work outperforms state-of-the-art methods in terms of improving the conflicting requirements.

翻译：高动态范围图像在互联网上迅速传播,有可能被用于未经授权的使用。为了保护这些图像,提出了一些基于《人类发展报告》图像的水标记方法。然而,这些图像继承了标准动态范围图像传统IW方法所面临的相同问题,即对相互冲突的要求只进行权衡,而不是同时改进。在本文中,提出了一个基于交易的基于新颖突出度(目视物体)检测的独立《人类发展报告-IW》,以同时提高稳健性、可视性和有效载荷。首先,主机图像通过我们拟议的突出对象探测模型生成突出的地图,而该模型又被利用来分割主机图像的表面和背景。接下来,二元水标记被分割成以相同的遮罩和随机扰动算法将之分割到地表层和背景。最后,水标记部分被嵌入了相应的主机部分的选定位,使用四分式索引调制。实验结果显示,拟议的工作要求在改进状态条件方面出现冲突。