Reversible data hiding in encrypted images based on IWT and chaotic system

Meng, Lingzhuang; Liu, Lianshan; Wang, Xiaoli; Tian, Gang

doi:10.1007/s11042-022-12415-z

Cited by 11 publications

(12 citation statements)

References 32 publications

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“…From Figure 10, the performance derived from the proposed method is significantly better than that of other methods [4,13,14,[16][17][18]. However, our maximum embedding rate is 0.5 bpp, which is lower than that of method [18] since we use two encrypted pixels to embed the 1-bit watermark. Feature comparison with other methods [4,13,14,[16][17][18] is further summarized in Table 3.…”

Section: Performance Comparisonmentioning

confidence: 84%

“…We note that different images do not affect the performance of the proposed method. Figure 10 shows the performance comparison of the embedding rate with PSNR for Lena with other methods [4,13,14,[16][17][18]. The PSNR values between the original image and the directly decrypted image are given in our experiments.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…We can see in Figure 10 that the PSNRs of directly decrypted images in our proposed method are always infinite regardless of the embedding rate since the original image can be completely recovered from the watermarked encrypted image without performing watermark extraction. Other methods [4,13,14,[16][17][18] cannot directly recover the original image with only the encryption key. From Figure 10, the performance derived from the proposed method is significantly better than that of other methods [4,13,14,[16][17][18].…”

Section: Performance Comparisonmentioning

confidence: 99%

“…Other methods [4,13,14,[16][17][18] cannot directly recover the original image with only the encryption key. From Figure 10, the performance derived from the proposed method is significantly better than that of other methods [4,13,14,[16][17][18]. However, our maximum embedding rate is 0.5 bpp, which is lower than that of method [18] since we use two encrypted pixels to embed the 1-bit watermark.…”

Section: Performance Comparisonmentioning

confidence: 99%

“…Four decrypted rotation states are considered to completely recover the image. Meng et al [18] used an integer wavelet transform and a chaotic system to reversibly embed a watermark into the encrypted image. They encrypted the LL component of the wavelet domain by the chaotic system and embedded the watermark into the HH component.…”

Section: Introductionmentioning

confidence: 99%

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Separable Reversible Watermarking in Encrypted Images for Privacy Preservation

Chang

Tai

2022

Symmetry

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We propose a separable, reversible watermarking scheme in encrypted images for privacy preservation. The Paillier cryptosystem is used for separable detection and decryption. Users may want to use cloud services without exposing their content. To preserve privacy, the image owner encrypts the original image using a public key cryptosystem before sending it to the cloud. Cloud service providers can embed the watermark into encrypted images by using a data-hiding key without knowing and destroying the original image. Even though the cloud service providers do not know the original image content, they can use the data-hiding key to detect the watermark from the encrypted image for authentication. Besides, the image owner can use the private key to directly decrypt the watermarked encrypted image to get the original image without any distortion due to its homomorphic property. Experimental results show the feasibility of the proposed method, which can provide efficient privacy-preserving authentication without degrading security.

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Section: Performance Comparisonmentioning

confidence: 84%

Section: Performance Comparisonmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

Section: Performance Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Separable Reversible Watermarking in Encrypted Images for Privacy Preservation

Chang

Tai

2022

Symmetry

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A Recent Survey of Reversible Data Hiding Techniques for 2D and 3D Object Models

Verma,

Agarwal,

Borah

2023

Algorithms for Intelligent Systems

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A novel steganographic technique for medical image using SVM and IWT

Chowdhuri

Pal

2023

Multimed Tools Appl

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This study presents an efficient authentication scheme for digital image steganography on medical images benefiting from the combination of both techniques: Support Vector Machine (SVM) and Integer Wavelet Transform (IWT). We use two different strategies in this paper, where SVM is used first to separate the Region of Interest (ROI) from Non-Region of Interest (NROI) in the medical image. Then IWT is applied to embed secret information within the NROI part of the medical image (Cover Image). Moreover, we have applied a circular array and a shared secret key to enhance the robustness of the proposed scheme. The research looked into the various experimental analyses to establish the acceptability of the existing scheme. The simulation is performed to measure the imperceptibility using Peak Signal to Noise Ratio (PSNR) and to test the robustness using the Structural Similarity Index Measure (SSIM). The experimental result shows good imperceptibility with a PSNR of 64 dB and better robustness with a SSIM of 0.96 for the proposed steganographic scheme.

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Reversible data hiding in encrypted images based on IWT and chaotic system

Cited by 11 publications

References 32 publications

Separable Reversible Watermarking in Encrypted Images for Privacy Preservation

Separable Reversible Watermarking in Encrypted Images for Privacy Preservation

A Recent Survey of Reversible Data Hiding Techniques for 2D and 3D Object Models

A novel steganographic technique for medical image using SVM and IWT

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