A new tone-mapped image quality assessment approach for high dynamic range imaging system

Song, Yang; Jiang, Gangyi; Jiang, Hao; Yu, Mei; Shao, Feng; Peng, Zongju

doi:10.1109/icip.2017.8296434

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Step3: Construct the core tensor B with the orthogonal matrix of mode-3 U (3) and the original tensor A according to Eq.(1). Thus the first feature map Q 1 of core tensor is obtained, where Q 1 , Q 2 and Q 3 denote the first, second and third feature maps, respectively.…”

Section: A Tucker Decomposition For Hdr Imagementioning

confidence: 99%

“…With the wide applications of high dynamic range (HDR) imaging technology [1]- [3] in the field of consumer electronics, video production, virtual reality, remote sensing, medical detection, HDR image copyright protection has also received increasing attentions. In contrast to the traditional low dynamic range (LDR) images, the dynamic range of HDR images can generally reach or exceed 9 orders of magnitude [4], which can not only improve the accuracy of scene brightness information to a certain extent, but also bring abundant color details and renditions of shading gradations.…”

Section: Introductionmentioning

confidence: 99%

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High Dynamic Range Image Watermarking Based on Tucker Decomposition

Wang

Jiang

et al. 2019

IEEE Access

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High dynamic range (HDR) imaging technique has received much attentions in the recent years for its abundant details and wide dynamic range of luminance. In order to display HDR images on low dynamic range display devices, tone mapping (TM) process is required. However, the TM can be deemed as an inevitable attack in the field of HDR image copyright protection. In this paper, a highly robust HDR image watermarking algorithm based on Tucker decomposition is proposed. Firstly, Tucker decomposition is carried out on HDR color image to obtain the first feature map of the core tensor, which contains most of the energies in the HDR host image. Then, a Auto-Regressive prediction method is used to establish a local correlation model of the first feature map, so that watermark can be embedded in the first feature map according to the prediction result and its true value. Furthermore, a low-complexity luminance masking approach is designed based on modified specular free map to exclude the areas not suitable for watermark embedding, and an embedding intensity selection strategy is used to balance the imperceptibility and robustness of the watermark. The experimental results show that the proposed algorithm is robust against existing TM attacks while keeping better image imperceptibility and embedding capacity.INDEX TERMS High dynamic range image, digital watermarking, tone mapping, tucker decomposition, luminance mask.

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Section: A Tucker Decomposition For Hdr Imagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High Dynamic Range Image Watermarking Based on Tucker Decomposition

Wang

Jiang

et al. 2019

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…The low dynamic range (LDR) imaging is replaced with the high dynamic range (HDR) imaging technology so that actual scenes can be described accurately, while more details in both light and dark areas can be well captured [5][6][7]. The attentions of both professionals and academics have been drawn to the protection of HDR images ownership due to their constant practical use [8][9][10][11]. The usage of watermarking technology is critical to information security as it facilitates the effective protection of multimedia data's copyright [12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Adaptive HDR Image Blind Watermarking Approach Based on Redundant Discrete Wavelet Transform

Al_airaji

Aljazaery

Alrikabi

2023

Int. J. Interact. Mob. Technol.

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Remarkable success has been recorded in the usage of digital watermarking which is aimed at protecting the intellectual property of multimedia content. In this paper, a new tone mapping attack-resistant high dynamic range (HDR) image zero-watermarking algorithm is proposed. In this algorithm extraction of stable and invariant features are extracted for efficient zero-watermarking through the application of the redundant discrete wavelet transform (RDWT) to the HDR image. The first step involves transforming the HDR image to HVS color space, and RDWT is implemented using the V-channel so that the LL sub-band which contains the strong structure contents of the image is obtained. The second step involves dividing the LL sub-band into non-overlapping blocks, which are afterwards subjected to the process of transformation through the use of the singular value decomposition (SVD) so that the U matrix can be extracted. Third, the use of an Auto-Regressive (AR) prediction technique was employed in generating a local relationship model and comparison is done to facilitate the production of a binary feature mask. In the fourth process, hybrid chaotic mapping (HCM) is used to generate blended watermark so that the security of the watermark can be fortified. Lastly, the computation of an effective zero-watermark is achieved through the implementation of an exclusive-or operation on the blended watermark and the binary feature mask. Based on the results, the approach presented in this study demonstrated superior performance in terms of withstanding TM attacks and other attacks associated with image processing.

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“…Compared with the LDR imaging, the high dynamic range (HDR) imaging technology emerges in order to describe the real scene more accurately and record more detailed information in the light and dark areas [3,4]. As HDR images become more and more common in practical applications [5,6], the copyright protection of the HDR image has received increasing attention. Watermarking technology can effectively protect the copyright of multimedia data and it plays an important role in the field of information security [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform

Shi

Luo

Huang

et al. 2021

Security and Communication Networks

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In this paper, a novel high dynamic range (HDR) image zero-watermarking algorithm against the tone mapping attack is proposed. In order to extract stable and invariant features for robust zero-watermarking, the shift-invariant shearlet transform (SIST) is used to transform the HDR image. Firstly, the HDR image is converted to CIELAB color space, and the L component is selected to perform SIST for obtaining the low-frequency subband containing the robust structure information of the image. Secondly, the low-frequency subband is divided into nonoverlapping blocks, which are transformed by using discrete cosine transform (DCT) and singular value decomposition (SVD) to obtain the maximum singular values for constructing a binary feature image. To increase the watermarking security, a hybrid chaotic mapping (HCM) is employed to get the scrambled watermark. Finally, an exclusive-or operation is performed between the binary feature image and the scrambled watermark to compute robust zero-watermark. Experimental results show that the proposed algorithm has a good capability of resisting tone mapping and other image processing attacks.

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A new tone-mapped image quality assessment approach for high dynamic range imaging system

Cited by 7 publications

References 9 publications

High Dynamic Range Image Watermarking Based on Tucker Decomposition

High Dynamic Range Image Watermarking Based on Tucker Decomposition

Adaptive HDR Image Blind Watermarking Approach Based on Redundant Discrete Wavelet Transform

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform

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