Scene-based Imperceptible-visible Watermarking for HDR Video Content

Perez-Daniel, Karina Ruby; García-Ugalde, Francisco; Sánchez, Vı́ctor

doi:10.1109/iwbf.2019.8739184

Cited by 2 publications

(4 citation statements)

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“…Differently from the UVW technique, which embeds copyright information in the spatial domain of SDR regions with low visibility, the HDR-IW method embeds imperceptible watermarks in the spatial domain by exploiting the inaccuracies among the nonlinear digital representation of the linear luminance acquired by an HDR sensor, the linear luminance radiated by an HDR screen by means of a TF, and the brightness perceived by the HVS from the displayed luminance. The latter is achieved by using the information provided by a Luma Variation Tolerance (LVT) curve [4]. This paper extends and complements [4] as follows:…”

Section: Introductionmentioning

confidence: 69%

“…The latter is achieved by using the information provided by a Luma Variation Tolerance (LVT) curve [4]. This paper extends and complements [4] as follows:…”

Section: Introductionmentioning

confidence: 69%

“…Our method, hereinafter called High Dynamic Range -Imperceptible Watermarking, (HDR-IW) provides an easy way to recognize the media's ownership without the need for exchanging keys or any extra information about the embedding process, while minimizing the visual distortion that can be perceived by the HVS. The proposed method is based on the Unseen Visible Watermarking (UVW) technique [2], [3] and extends our work in [4]. Differently from the UVW technique, which embeds copyright information in the spatial domain of SDR regions with low visibility, the HDR-IW method embeds imperceptible watermarks in the spatial domain by exploiting the inaccuracies among the nonlinear digital representation of the linear luminance acquired by an HDR sensor, the linear luminance radiated by an HDR screen by means of a TF, and the brightness perceived by the HVS from the displayed luminance.…”

Section: Introductionmentioning

confidence: 92%

“…Sample test HDR images encoded using Rec.2020 + PQ EOTF −1 (rows 1-2) and Rec.2020 + HGL OETF (rows[3][4] and the quality measures the degradation that the original image suffers after watermarking. Both parameters are given in terms of an u × v probability map, p(u, v) ∈ [0, 1], which is reduced to a single term by means of the Minkowsky distance:…”

mentioning

confidence: 99%

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Watermarking of HDR Images in the Spatial Domain With HVS-Imperceptibility

2020

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This paper presents a watermarking method in the spatial domain with HVS-imperceptibility for High Dynamic Range (HDR) images. The proposed method combines the content readability afforded by invisible watermarking with the visual ownership identification afforded by visible watermarking. The HVS-imperceptibility is guaranteed thanks to a Luma Variation Tolerance (LVT) curve, which is associated with the transfer function (TF) used for HDR encoding and provides the information needed to embed an imperceptible watermark in the spatial domain. The LVT curve is based on the inaccuracies between the non-linear digital representation of the linear luminance acquired by an HDR sensor and the brightness perceived by the Human Visual System (HVS) from the linear luminance displayed on an HDR screen. The embedded watermarks remain imperceptible to the HVS as long as the TF is not altered or the normal calibration and colorimetry conditions of the HDR screen remain unchanged. Extensive qualitative and quantitative evaluations on several HDR images encoded by two widely-used TFs confirm the strong HVSimperceptibility capabilities of the method, as well as the robustness of the embedded watermarks to tone mapping, lossy compression, and common signal processing operations. INDEX TERMS HDR, invisible watermarking, visible watermarking, LVT curve, HVS-imperceptibility.

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Section: Introductionmentioning

confidence: 69%

“…The latter is achieved by using the information provided by a Luma Variation Tolerance (LVT) curve [4]. This paper extends and complements [4] as follows:…”

Section: Introductionmentioning

confidence: 69%