Semi-fragile image watermarking algorithm based on visual features

Che, Shengbing; Ma, Bin; Che, Zuguo

doi:10.1109/icwapr.2007.4420698

Cited by 7 publications

(7 citation statements)

References 7 publications

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“…Table 3 shows the results of false alarm rate and missing alarm rate. Form the results of table 3, the performance of our method is better than that of [ 9] and close to that of [3]. However, the watermarking of [3] is unconcerned with the image, so the original watermarking is required when authenticating.…”

Section: Experiments Of Comparing With Other Methodsmentioning

confidence: 83%

“…We compare our method with the methods in [3] and [9], which perform better than most of semi-fragile watermarking algorithm. Table 3 shows the results of false alarm rate and missing alarm rate.…”

Section: Experiments Of Comparing With Other Methodsmentioning

confidence: 99%

“…Compared with semi-fragile algorithm based on fixed quantization step [1] [2] , the algorithm with dynamic quantization step can balance the robustness and imperceptibility better. Che [3] used human visual characteristics to determine the steps dynamically and proposed quantized central limit theorem to embed watermark. However, when the value of cover data is smaller than that of step, the parity of watermarking bit will be changed even if the cover data isn't modified.…”

Section: Introductionmentioning

confidence: 99%

“…However, when the value of cover data is smaller than that of step, the parity of watermarking bit will be changed even if the cover data isn't modified. In addition, the watermarking of most semi-fragile algorithm is irrelevant to the cover image [3] [4] , so a reference watermarking is required when authenticating, which will increase the authentication risk.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive semi-fragile watermarking based on complete quantization and image contents

Guo¹,

Wei²,

Tang³

et al. 2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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Complete quantization principle is proposed in this paper, based on which, an adaptive semi-fragile watermarking algorithm based on image contents is proposed. The algorithm uses the low frequency sub-band to construct watermarking related to the content of image, and then uses just noticeable difference of wavelet domain to embed watermarking by means of complete quantitative principle. Experiments show this algorithm can classify malicious and non-malicious manipulations accurately.

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Section: Experiments Of Comparing With Other Methodsmentioning

confidence: 83%

Section: Experiments Of Comparing With Other Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive semi-fragile watermarking based on complete quantization and image contents

Guo¹,

Wei²,

Tang³

et al. 2013

Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation

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show abstract

“…At the beginning, video was regarded as a sequence which was constituted by some single images in the watermarking technology [2][3][4] . And it usually uses the image watermarking methods [5][6][7][8] to embed the information to the image. Right now, there are many kinds of algorithms [9,10] according to the use of video watermarking.…”

Section: Forewordmentioning

confidence: 99%

Quasi-Blind Adaptive Video Watermarking Algorithm Based on Human Visual System

Bing

Luo

2011

AMR

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A quasi-blind adaptive video watermarking algorithm in uncompressed video wavelet domain based on human visual system is proposed in this paper. This algorithm established a visual model according to the human visual masking and the characteristics of wavelet coefficients. It did not require the scene segmentation of the video, choosing the video frames which used for embedding watermarking by the key, and embedding different watermarking which processed by Arnold scrambling into different frame, so it is robust to statistical analysis, frame crop and so on. To ensure the spatial synchrony when extracting the watermark information, zero-watermarking method and chaotic system are used to generate the synchronization information. The quantized central limit theorem is applied to adjust the low frequency coefficients, it makes the extracted watermark information keeps invariant when its element value changed in robust region. A new correlation detection method of watermarking information was put forward. Watermark detection does not require original video. It realized the quasi-blind watermark detection.

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