A novel semi-fragile image watermarking scheme based on wavelet

Song, Haohao; Qiu, Zihua; Gu, Jun

doi:10.1109/icalip.2010.5684538

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…Remark 4: Small perturbation in image does not cause large variation in singular values [3]- [7], [10], Remark 5: Singular values own intrinsic properties of image (i.e. luminance information is contained in singular values, whereas geometric information is maintained by corresponding singular vectors) [1], [3]- [7], [11].…”

Section: B Fuzzy Inference Systemmentioning

confidence: 97%

“…2. (LL, LH, HL, HH) = DW T (I) Remark 3: The use of DWT here is to improve the security level and robustness [7]. The improvement in the security level and robustness is due to irregular distribution of watermark over the image during the inverse transform.…”

Section: B Fuzzy Inference Systemmentioning

confidence: 97%

“…On the other hand it has created problem for the owner of these data because this data can be copied and distribute illegally and makes difficult to distinguish between original and copied data. So digital watermarking is one of the possible solution [1]- [7]. The watermark can be embedded into the transformed ( wavelet, discrete cosine transform (DCT)) coefficients but before embedding the watermark image should be scaled (multiplied with scaling factor) to adjust the strength of watermark strength [12].The quality of watermarking scheme is primarily based on two conflicting requirements, robustness (measured using normalized correlation coefficient (NC)) and imperceptibility (measured using peak signal to noise ratio (PSNR)) [1], [18].…”

Section: Introductionmentioning

confidence: 99%

“…This scheme is not robust against image cropping and histogram equalization. In [7], the predetermined bit-plane from lower frequency band is chosen for watermark embedding. This scheme does not perform well under median filtering, rotation and affine transformation attacks.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive watermarking technique based on human visual system and fuzzy inference system

Imran

Ghafoor

Riaz

2013

2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)

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A robust image watermarking scheme based on human visual system is proposed. The perceptual quality of the watermarked image is controlled by determining adaptive scaling factor for each individual pixel value. To determine the adaptive scaling factor, human visual system (texture masking) and fuzzy inference systems were used. The quality of the proposed scheme is tested against various attacks (Histogram equalization, rotation, Gaussian noise, scaling, cropping, JPEG compression, Y-shearing, X-shearing, median filtering, affine transformation, translation, sharpening, blurring, average filtering). The perceptual quality of watermarked image is calculated using peaksignal-to-noise-ratio, whereas the extracted watermark's quality is measured using normalized correlation.

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Section: B Fuzzy Inference Systemmentioning

confidence: 97%

Section: B Fuzzy Inference Systemmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive watermarking technique based on human visual system and fuzzy inference system

Imran

Ghafoor

Riaz

2013

2013 IEEE International Symposium on Circuits and Systems (ISCAS2013)

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“…Hernandez et al [7] measured the performance for the DCT domain-based watermarking technique. DWT is widely used in watermark embedding due to its various advantages over other transforms [8][9][10]. Modern Techniques like digital signatures, Multiresolution watermarking and SVD based algebraic methods are added for improving security of watermarking methods [11][12][13][14][15].…”

Section: Related Workmentioning

confidence: 99%

A Novel DWT-SVD Canny-Based Watermarking Using a Modified Torus Technique

2016

J Inf Process Syst

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Today's modern world requires a digital watermarking technique that takes the redundancy of an image into consideration for embedding a watermark. The novel algorithm used in this paper takes into consideration the redundancies of spatial domain and wavelet domain for embedding a watermark. Also, the cryptographybased secret key makes the algorithm difficult to hack and help protect ownership. Watermarking is blind, as it does not require the original image. Few coefficient matrices and secret keys are essential to retrieve the original watermark, which makes it redundant to various intentional attacks. The proposed technique resolves the challenge of optimizing transparency and robustness using a Canny-based edge detector technique. Improvements in the transparency of the cover image can be seen in the computed PSNR value, which is 44.20 dB.

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