Hybrid semi-blind image watermarking in redundant wavelet domain

Singh, Sadhna; Rathore, Vivek Singh; Singh, Rajiv; Singh, Manoj Kumar

doi:10.1007/s11042-017-4570-8

Cited by 56 publications

(58 citation statements)

References 55 publications

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“…In [21], a semi-blind gray scale image watermarking technique in redundant wavelet domain using the combination of non sub-sampled contourlet transform(NSCT), redundant discrete wavelet transform(RDWT) and SVD is proposed. Singh's et al used Arnold transform encryption to enhance the security of the watermarking system.…”

Section: Related Workmentioning

confidence: 99%

“…By increasing the compression ratio, the NC values decreases slightly but the results are still encouraging (NC= 0.9 when CR= 10). Afterwards, we compare the proposed method to [14], [15], [20] , [21], [22] and [23]. [38] and five natural images, respectively.…”

Section: Compression Attackmentioning

confidence: 99%

“…We believe that the main reason stands on the fact that the watermark is inserted in the DFT magnitude which ensures high imperceptibility. [14] 38.20 512 [15] 51.80 512 [20] 44.73 512 [21] 41.36 16834 Proposed method 61.97 988…”

Section: Imperceptibilitymentioning

confidence: 99%

“…This requirement, introduces a very challenging issue especially if robustness is also needed. We distinguish between non-blind [12], semi-blind [21] and blind [13] [31] watermarking systems depending on whether or not the host image is needed during watermark extraction. In non-blind techniques, the original image is needed; Semi-blind methods require the watermark and some side information; Blind approaches neither need the original image nor the watermark.…”

Section: Introductionmentioning

confidence: 99%

“…To evaluate the proposed scheme, we compare its DFT counterpart in terms of imperceptibility and robustness. Furthermore, comparative experiments are performed with alternative methods presented in [14], [15], [20], [21], [22] and [23].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility.

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Section: Related Workmentioning

confidence: 99%

Section: Compression Attackmentioning

confidence: 99%

Section: Imperceptibilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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Enhanced Image Security Through Hybrid Approach

Arora¹,

Kadian²

2022

Wireless Communication Security

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SPIHT‐based multiple image watermarking in NSCT domain

Kumar

Singh

Kumar

et al. 2018

Concurrency and Computation

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Image watermarking in wavelet domain is a challenging problem as it includes a proper selection of wavelet transforms as well as sub-bands for accurate embedding and recovery of watermarks.However, selection of a suitable wavelet transform for multiple image watermarking is an area of great interest. Therefore, in this work, a multiple watermarking technique using combination of redundant discrete wavelet transforms (RDWT), non-subsampled contourlet transform (NSCT), set partitioning in hierarchical tree (SPIHT), and singular value decomposition (SVD) is proposed. The proposed scheme is aimed to achieve high capacity, robustness, and imperceptibility. The security aspect of the proposed method is enhanced by using Arnold transform. Since RDWT and NSCT are both shift invariant in nature, therefore they are suitable for multiple image watermarking. Furthermore, the proposed method provides flexibility in selection of appropriate sub-bands for watermark embedding and recovery. Experimental results and analysis reveals that the proposed technique gives maximum PSNR, NC, and SSIM value up to 40.97 dB, 1, and 0.9994, respectively. Furthermore, the performance estimation of our technique is found superior to previously reported techniques under consideration. KEYWORDSArnold transform, non-sub sampled contourlet transform, RDWT, SPIHT, SVD INTRODUCTIONRecently, secure transmission of digital data over open/public networks is one of potential challenges. 1 Therefore, there is a great requirement to secure the data transmission over networks. Digital image watermarking is one of promising method for protecting digital data and is widely used for copyright protection and secure communication. 2-4 Image watermarking provides secure transmission of digital data by embedding it into the cover image for content authentications, copyright protection, 5 etc.Discrete wavelet transform (DWT) has been widely used for image watermarking. 6 However, the major drawbacks associated with the DWT are its shift sensitivity and poor directionality that can be avoided by using redundant wavelet transforms. 7 The existing literatures over image watermarking clearly states that the redundant wavelet transforms are suitable for single and multiple images watermarking 7-10 as these transforms do not use down sampling operation in implementation. Thus, no data/information loss occurs during forward and inverse transformation. Furthermore, redundant discrete wavelet transform (RDWT) 11 and non-subsampled contourlet transform (NSCT) 12 are shift invariant. This property enables us to have better reconstruction of images and found useful in many image processing applications. Furthermore, NSCT provides rich directional information, which can be used in embedding single as well as multiple watermarks after forward transformation. 12 It is evident that the performance of combined transform domain techniques (two or more than two) is better than individual one. 7 Thus, being motivated by above facts, an image watermarking technique in NSCT domain using...

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Hybrid semi-blind image watermarking in redundant wavelet domain

Cited by 56 publications

References 55 publications

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Enhanced Image Security Through Hybrid Approach

SPIHT‐based multiple image watermarking in NSCT domain

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