Properties of digital image watermarking

Abdullatif, Mohammad; Zeki, Akram M.; Chebil, Jalel; Gunawan, Teddy Surya

doi:10.1109/cspa.2013.6530048

Cited by 40 publications

(21 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Digital image watermarking has been becoming a popular solution in recent years and many algorithms have been developed in this regard. In conventional watermarking, information of ownership identification is inserted in host image by changing its original information [1].This method creates compromise among imperceptibility, capacity and robustness of watermark. Some application such as medical images and video applications need almost negligible distortion and high robustness which conventional watermarking fails to deliver.…”

Section: Introductionmentioning

confidence: 99%

Robust and dynamic image zero watermarking using hessian laplace detector and logistic map

Dhoka

Patki

2015

2015 IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

in this digital world due to rapid growth in image processing technology and internet, Piracy of the images is becoming more and more serious problem. In order to prohibit such piracy, watermarking is widely used approach. In conventional watermarking, watermark is inserted in host image by modifying its original information. This approach creates a trade-off between robustness and imperceptibility. To overcome this, zero watermarking is used. In this process instead of embedding watermark, it is created using host image and original watermark of ownership identification. Zero Watermarking does not alter original information of the image and provides perfect imperceptibility. In this paper we are proposing a robust and dynamic zero watermarking using Hessian Laplace Detector and Logistic map. Here, Feature points of host image are detected using Hessian Laplace detector and used along with original watermark of ownership identity for constructing zero-watermark. Finally constructed zero-watermark is scrambled using Logistic map to improve its security before storing it into database. Our dynamic approach lets original watermark size to be solely decided by total number of detected feature points and all pixels of original watermark to be used for creating zero-watermark. We have compared our algorithm with previous work and got better reconstruction of original watermark under noise, filtering, compression, translation and cropping attacks.

show abstract

Section: Introductionmentioning

confidence: 99%

Robust and dynamic image zero watermarking using hessian laplace detector and logistic map

Dhoka

Patki

2015

2015 IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

show abstract

“…Usually, we can increase the watermark strength to improve robustness at the expense of losing fidelity, and vice versa. Consequently, how to maintain a balance between imperceptibility and robustness is important for a sophisticated watermarking algorithm [2].…”

Section: Introductionmentioning

confidence: 99%

A Novel STDM Watermarking Using Visual Saliency-Based JND Model

et al. 2017

View full text Add to dashboard Cite

Abstract:The just noticeable distortion (JND) model plays an important role in measuring the visual visibility for spread transform dither modulation (STDM) watermarking. However, the existing JND model characterizes the suprathreshold distortions with an equal saliency level. Visual saliency (VS) has been widely studied by psychologists and computer scientists during the last decade, where the distortions are more likely to be noticeable to any viewer. With this consideration, we proposed a novel STDM watermarking method for a monochrome image by exploiting a visual saliency-based JND model. In our proposed JND model, a simple VS model is employed as a feature to reflect the importance of a local region and compute the final JND map. Extensive experiments performed on the classic image databases demonstrate that the proposed watermarking scheme works better in terms of the robustness than other related methods.

show abstract

“…Content providers want to embed watermarks in their multimedia objects (digital content) for several reasons like copyright protection, content authentication, tamper detection, etc [1][2][3]. More and more researchers are particularly attracted to the area of image watermarking because of the property of the image as it has a lot of redundant information contained in it which can be exploited to be used for watermark embedding.…”

Section: Introductionmentioning

confidence: 99%

“…While the spatial domain techniques are having least complexity and high payload, they can not withstand image compression and other common image processing attacks [2,3]. Transform domain watermarking schemes like those based on the discrete Fourier transform (DFT) [5], the discrete cosine transform (DCT) [6], and the discrete wavelet transform (DWT) [7,8] typically provide higher image imperceptibility and are much more robust to image manipulations.…”

Section: Introductionmentioning

confidence: 99%

Blind image watermarking technique based on differential embedding in DWT and DCT domains

Benoraira

Benmahammed

Boucenna

2015

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

This paper presents a new blind and robust image watermarking scheme based on discrete wavelet transform (DWT) and discrete cosine transform (DCT). Two DCT-transformed sub-vectors are used to embed the bits of the watermark sequence in a differential manner. The original sub-vectors are obtained by the sub-sampling of the approximation coefficients of the DWT transform of the host image. During the extraction stage, the simple difference between the corresponding sub-vectors of the watermarked image, gives directly the embedded watermark sequence. Experimental results demonstrate that the proposed technique successfully fulfills the requirement of imperceptibility and provides high robustness against a number of image-processing attacks, such as JPEG compression, noise adding, low-pass filtering, sharpening, and bit-plane removal. Our scheme exhibits also an acceptable to good performance against some geometrical attacks such as resizing and cropping.

show abstract

Properties of digital image watermarking

Cited by 40 publications

References 11 publications

Robust and dynamic image zero watermarking using hessian laplace detector and logistic map

Robust and dynamic image zero watermarking using hessian laplace detector and logistic map

A Novel STDM Watermarking Using Visual Saliency-Based JND Model

Blind image watermarking technique based on differential embedding in DWT and DCT domains

Contact Info

Product

Resources

About