A robust region-adaptive dual image watermarking technique

Song, Chunlin; Sudirman, Sud; Merabti, Madjid

doi:10.1016/j.jvcir.2012.01.017

Cited by 66 publications

(32 citation statements)

References 16 publications

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“…LH contains the vertical detail information to horizontal edges and HL contains the horizontal detail information to vertical edges. The LL can be decomposed again in the same way and the process can repeat upto any level and produce more subbands [11]. As LL contains most of the image information, then embedding of watermarks in this sub band may significantly reduce the quality of the image.…”

Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

A Hybrid Video Watermarking Technique based on DWT, SVD and SCHUR Decomposition

Adhikari¹,

Sing²

2018

IJCA

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Video watermarking is a technique that used to protect the multimedia data, video in reference to authentication, proof of ownership, copy control etc. In this paper a robust video watermarking scheme is proposed that will protect videos from being unauthorized manipulation by the intruder. A hybrid transform technique consists of Discrete Wavelet Transform (DWT), Schur decomposition, Singular Value Decomposition (SVD) and a visual attention region determination scheme is used to determine the region of interest and region of non interest blocks of video frames. To make the scheme robust, watermark is embedded in the region of non interest blocks of HL band of the frame. The robustness against various attacks has been compared with high Normalized Cross Correlation (NCC) values and the imperceptibility of the watermarked image with the original cover image has been compared with indicated high achievable Peak Signal to Noise Ratio (PSNR) values. The experimental results show that the proposed method has achieved a satisfactory performance against various notable attacks. General TermsVideo watermarking

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Section: Discrete Wavelet Transform (Dwt)mentioning

confidence: 99%

A Hybrid Video Watermarking Technique based on DWT, SVD and SCHUR Decomposition

Adhikari¹,

Sing²

2018

IJCA

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“…The watermarking proposed (1) and improved by the researchers in the SVD domain [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] in that the watermark is embedded into the singular value of the host image. In [7-15, 17, 19], the host image is transformed first (mostly using the wavelet transform) before performing the SVD.…”

Section: Introductionmentioning

confidence: 99%

“…In [7-15, 17, 19], the host image is transformed first (mostly using the wavelet transform) before performing the SVD. In SVD watermarking techniques [7][8][9][10][11][12][13][14][15]17,19], the visual watermark is embedded into the singular value matrix of the host image in the transformed domain by selecting the suitable scaling factor to achieve the imperceptibility aspect in the watermarked image. The two approaches are used to embed the watermark information into a host image such as directly insert a watermark image into host image singular value matrix [1,[15][16][17][18][19][20][21][22],and only inject the watermark singular value into the singular value [7][8][9][10][11][12][13][14] of host image.…”

Section: Introductionmentioning

confidence: 99%

“…In SVD watermarking techniques [7][8][9][10][11][12][13][14][15]17,19], the visual watermark is embedded into the singular value matrix of the host image in the transformed domain by selecting the suitable scaling factor to achieve the imperceptibility aspect in the watermarked image. The two approaches are used to embed the watermark information into a host image such as directly insert a watermark image into host image singular value matrix [1,[15][16][17][18][19][20][21][22],and only inject the watermark singular value into the singular value [7][8][9][10][11][12][13][14] of host image. Both types of these methods gives a good quality watermarked image in terms of the PSNR, and robust against various attacks in terms of the correlation coefficient [1,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…The two approaches are used to embed the watermark information into a host image such as directly insert a watermark image into host image singular value matrix [1,[15][16][17][18][19][20][21][22],and only inject the watermark singular value into the singular value [7][8][9][10][11][12][13][14] of host image. Both types of these methods gives a good quality watermarked image in terms of the PSNR, and robust against various attacks in terms of the correlation coefficient [1,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. Still, the image quality is degraded and the transparency of the watermark is improved by a lower value of scaling factor but it is less robust against various geometric attacks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Gabased Digital Image Watermarking For Enhanced Robustness and Imperceptibility

Rao¹,

Kumar²

2017

IOSR JCE

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Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

Che

Luo

et al. 2019

Math Methods in App Sciences

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Digital watermarking is important for protecting the intellectual property of remote sensing images. Unlike watermarking in ordinary colour images, in colour remote sensing images, watermarking has an important requirement: robustness. In this paper, a robust nonblind watermarking scheme for colour remote sensing images, which considers both frequency and statistical pattern features, is constructed based on the quaternion wavelet transform (QWT) and tensor decomposition. Using the QWT, not only the abundant phase information can be used to preserve detailed host image features to improve the imperceptibility of the watermark, but also the frequency coefficients of the host image can provide a stable position to embed the watermark. To further strengthen the robustness, the global statistical feature structure acquired through the tensor Tucker decomposition is employed to distribute the watermark's energy among different colour bands. Because both the QWT frequency coefficients and the tensor decomposition global statistical feature structure are highly stable against external distortion, their integration yields the proposed scheme, which is robust to many image manipulations. A simulation experiment shows that our method can balance the trade‐off between imperceptibility and robustness and that it is more robust than the traditional QWT and discrete wavelet transform (DWT) methods under many different types of image manipulations.

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A robust region-adaptive dual image watermarking technique

Cited by 66 publications

References 16 publications

A Hybrid Video Watermarking Technique based on DWT, SVD and SCHUR Decomposition

A Hybrid Video Watermarking Technique based on DWT, SVD and SCHUR Decomposition

Gabased Digital Image Watermarking For Enhanced Robustness and Imperceptibility

Digital watermarking scheme for colour remote sensing image based on quaternion wavelet transform and tensor decomposition

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