Embedding distortion modeling for non-orthonormal wavelet based watermarking schemes

Bhowmik, Deepayan; Abhayaratne, Charith

doi:10.1117/12.810719

Cited by 4 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An appropriate choice of wavelet kernel must be determined within the watermarking framework. There have been previous studies to show that the performance of watermark robustness and imperceptibility is dependant on the wavelet kernels [47], [49], [63]. The orthogonal Daubechie wavelets are a favourable choice with many early watermarking schemes [52]- [57], although the later introduction of bi-orthogonal wavelets within the field of digital watermarking has increased their usage [58]- [61].…”

Section: ) Wavelet Kernel Selectionmentioning

confidence: 99%

Visual Attention-Based Image Watermarking

2016

Self Cite

View full text Add to dashboard Cite

Imperceptibility and robustness are two complementary but fundamental requirements of any watermarking algorithm. Low strength watermarking yields high imperceptibility but exhibits poor robustness. High strength watermarking schemes achieve good robustness but often infuse distortions resulting in poor visual quality in host media. If distortion due to high strength watermarking can avoid visually attentive regions, such distortions are unlikely to be noticeable to any viewer. In this paper, we exploit this concept and propose a novel visual attention-based highly robust image watermarking methodology by embedding lower and higher strength watermarks in visually salient and non-salient regions, respectively. A new low complexity wavelet domain visual attention model is proposed that allows us to design new robust watermarking algorithms. The proposed new saliency model outperforms the state-of-the-art method in joint saliency detection and low computational complexity performances. In evaluating watermarking performances, the proposed blind and non-blind algorithms exhibit increased robustness to various natural image processing and filtering attacks with minimal or no effect on image quality, as verified by both subjective and objective visual quality evaluation. Up to 25% and 40% improvement against JPEG2000 compression and common filtering attacks, respectively, are reported against the existing algorithms that do not use a visual attention model.

show abstract

Section: ) Wavelet Kernel Selectionmentioning

confidence: 99%

Visual Attention-Based Image Watermarking

2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…The generalisation of our model is evaluated by fitting all major wavelet-based watermarking schemes into a common framework presented in [13]. Initial concepts and the results were reported earlier in the form of conference publications [11,12] while this paper discusses the proposed scheme in detail, introduces non-linear kernels in the analysis and provides exhaustive performance evaluation. The scope of this work is strictly limited to embedding distortion analysis and excludes design and development of new robust watermarking algorithm that considers the derived model.…”

Section: Introductionmentioning

confidence: 99%

Embedding Distortion Analysis in Wavelet-domain Watermarking

Bhowmik

Abhayaratne

2019

ACM Trans. Multimedia Comput. Commun. Appl.

Self Cite

View full text Add to dashboard Cite

Imperceptibility and robustness are two complementary fundamental requirements of any watermarking algorithm. Low strength watermarking yields high imperceptibility, but exhibits poor robustness. High strength watermarking schemes achieve good robustness but often infuse distortions resulting in poor visual quality in host image. This paper analyses the embedding distortion for wavelet based watermarking schemes. We derive the relationship between distortion, measured in mean square error (MSE), and the watermark embedding modification and propose the linear proportionality between MSE and the sum of energy of the selected wavelet coefficients for watermark embedding modification. The initial proposition assumes the orthonormality of discrete wavelet transform. It is further extended for non-orthonormal wavelet kernels using a weighting parameter, that follows the energy conservation theorems in wavelet frames. The proposed analysis is verified by experimental results for both non-blind and blind watermarking schemes. Such a model is useful to find the optimum input parameters, including, the wavelet kernel, coefficient selection and subband choices for wavelet domain image watermarking. CCS Concepts: • Security and privacy → Digital rights management.

show abstract

On robustness against JPEG2000: a performance evaluation of wavelet-based watermarking techniques

Bhowmik

Abhayaratne

2013

Multimedia Systems

Self Cite

View full text Add to dashboard Cite

With the emergence of new scalable coding standards, such as JPEG2000, multimedia is stored as scalable coded bit streams that may be adapted to cater network, device and usage preferences in multimedia usage chains providing universal multimedia access. These adaptations include quality, resolution, frame rate and region of interest scalability and achieved by discarding least significant parts of the bit stream according to the scalability criteria. Such content adaptations may also effect the content protection data, such as watermarks, hidden in the original content. Many wavelet-based robust watermarking techniques robust to such JPEG2000 compression attacks are proposed in the literature. In this paper, we have categorized and evaluated the robustness of such wavelet based image watermarking techniques against JPEG2000 compression, in terms of algorithmic choices, wavelet kernel selection, subband selection, or watermark selection using a new modular framework. As most of the algorithms uses a different set of parametric combination, this analysis is particularly useful to understand the effect of various parameters on the robustness under a common platform and helpful to design any such new algorithm. The analysis also considers the imperceptibility performance of the watermark embedding, as robustness and imperceptibility are two main watermarking properties, complementary to each other.

show abstract

Embedding distortion modeling for non-orthonormal wavelet based watermarking schemes

Abstract: This is a repository copy of Embedding distortion modeling for non-orthonormal wavelet based watermarking schemes.

Cited by 4 publications

References 14 publications

Visual Attention-Based Image Watermarking

Visual Attention-Based Image Watermarking

Embedding Distortion Analysis in Wavelet-domain Watermarking

On robustness against JPEG2000: a performance evaluation of wavelet-based watermarking techniques

Contact Info

Product

Resources

About