Large-dynamic-range image watermarking method against tone mapping

Abstract

The invention discloses a large-dynamic-range image watermarking method against tone mapping. The method comprises the steps: manually setting the image quality value of a large-dynamic-range image with an embedded watermark relative to an original large-dynamic-range image in a watermark embedding process, so that a user achieves the balance between invisibility and embedding capacity, and the flexibility and practicality are higher; carrying out the effective extraction of watermark information in the extraction process of the watermark from the large-dynamic-range image obtained after a conventional attack of the large-dynamic-range image with the embedded water mark or a small-dynamic-range image after a tone mapping attack, thereby meeting the robustness requirements of the digital watermark of the large-dynamic-range image. Therefore, the method is high in practicality, can resist all tone mapping attacks, is good in robustness, and is low in watermark error rate. The method does not depend on the storage format of the large-dynamic-range image, and is suitable for the large-dynamic-range images at formats of RGBE, OpenEXR or LogLuv.

Description

technical field [0001] The invention relates to an image watermarking method, in particular to a high dynamic range image watermarking method against tone mapping. Background technique [0002] In recent years, High Dynamic Range (HDR) images, as an important development and breakthrough in the field of digital images, have attracted increasing attention in digital photography, ultra-high-definition film and television, video games, remote sensing detection, and medical imaging. Different from traditional low dynamic range (Low Dynamic Range, LDR) images, high dynamic range images use floating-point data to record pixel information, which can more accurately record the full color range of real scenes, and can show rich color details and light and shade level. Low dynamic range images can be reproduced directly on conventional display devices, while high dynamic range images can only be reproduced on special display devices. However, due to the complicated development proces...

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Problems solved by technology

V.Solachidis, E.Maiorana, P.Campisi, "HDR image multi-bit watermarking using bilateral-filtering-based masking". Image Processing: Algorithms and Systems, vol.865505, 2013. (Solachidis, Maiorana et al., based on bilateral Multi-bit high dynamic range image watermarking with filter masks, Image Processing: Algorithms and Systems, Volume No. 865505, 2013), the method uses just perceptual distortion model and contrast sensitivity function to design perceptual masks, embedded after wavelet transform Watermark, this method shows good robustness on 7 kinds of tone mapping operators, the disadvantage is that the embedding amount is only 128bit

The above high dynamic range image watermarking algorithms against tone mapping operators have achieved certain results in combating a small number of tone mapping operators by using the characteristics of high dynamic range images from different angles. The difference between the high dynamic range image watermark and the low dynamic range image watermark, especially the influence of the tone mapping operator on the high dynamic range image watermark, the analysis is not deep enough and accurate, so in the countermeasure against the number of tone mapping operators and the watermark The bit error rate still needs to be further improved

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