Robust spatial watermarking technique for colour images via direct saturation adjustment

Huang, Ping; Chiang, Chi-Lung; Chang, Chien-Ping; Tu, Te-Ming

doi:10.1049/ip-vis:20041081

Cited by 81 publications

(42 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Least Significant bit (LSB) technique is the most frequently used method [16]. Both [30] and [13] embedded the watermark in saturation on the HIS (Hue, Saturation, Intensity) color space. A variable block size based adaptive watermarking in spatial domain was proposed by [15].…”

Section: Previous Studiesmentioning

confidence: 99%

Enhanced Nested Video Watermarking Using Wavelets and Geometric Warping

Jayamalar¹,

Radha²

2011

IJMA

View full text Add to dashboard Cite

The amount of information created in the current era of information explosion is increasing in a overwhelming fashion. This increase in content has increased the awareness to protect the intellectual property. This paper presents one such method to protect Video content. The proposed watermarking hybrid scheme combines visual cryptography and wavelets to create a nested watermark, which is embedded into the raw uncompressed video signal using geometric warping technology. A block selection algorithm is used to select relevant area for embedding so as to improve robustness. The experimental resultsshowed that the proposed system shows significant improvement in terms of capacity and robustness against various attacks.

show abstract

Section: Previous Studiesmentioning

confidence: 99%

Enhanced Nested Video Watermarking Using Wavelets and Geometric Warping

Jayamalar¹,

Radha²

2011

IJMA

View full text Add to dashboard Cite

show abstract

“…The issue in Eq. (2) is difficult.Various algorithms have been developed to solve Equation (2). At the first Paatero and Tappen [11] proposed NMF (or, more precisely positive matrix factorization) but their algorithm is not exactly related to the non-negative constraint.…”

Section: Introductionmentioning

confidence: 99%

Data Reduction Algorithm Using Nonnegative Matrix Factorization with Nonlinear Constraints

Sembiring

2017

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Abstract-Processing ofdata with very large dimensions has been a hot topic in recent decades. Various techniques have been proposed in order to execute the desired information or structure. Non-Negative Matrix Factorization (NMF) based on non-negatives data has become one of the popular methods for shrinking dimensions. The main strength of this method is nonnegative object, the object model by a combination of some basic non-negative parts, so as to provide a physical interpretation of the object construction. The NMF is a dimension reduction method thathasbeen used widely for numerous applications including computer vision,text mining, pattern recognitions,and bioinformatics. Mathematical formulation for NMF did not appear as a convex optimization problem and various types of algorithms have been proposed to solve the problem. The Framework of Alternative Nonnegative Least Square(ANLS) are the coordinates of the block formulation approaches that have been proven reliable theoretically and empirically efficient. This paper proposes a new algorithm to solve NMF problem based on the framework of ANLS.This algorithm inherits the convergenceproperty of the ANLS framework to nonlinear constraints NMF formulations.Keyword: Dimensional Reduction, Nonnegative Matrix Factorization, Sparse Matrix, Nonlinear Constraints IntroductionIn every second in the modern era, a lot of data sets are being generated. The number of people online write their blogs, their homepage design and disseminate their experiences through digital support, videos, images and others. Imagine also the data formed from living organisms and gene research data obtained from space or from our earth. Data of transaction's through e-banking and others. Be useful if the data has been processed. Associated with the boom in the amount of data so rapidly, there are several approaches for data processing, by using classical methods application, designing more powerful computing structures such as: distributed computing, multi-core processors, super computers and others. However, the amount of data growth and complexities tendency exceeds the increase computational capabilities [1]. One of very popular approach called model of reduction that attempts to reduce the complexity while maintaining the assumption of issues (preliminary data). The use of an appropriate model can save the time. In addition, different data types require different models to capture the data comprehension. Of course, a model considered appropriate so that the model can survive better

show abstract

“…The original color image is transformed into the YIQ color space, and the watermark was embedded in both Y component and Q component. P. S. Huang et al [7] presents an approach for hiding the watermark into DC components of the colour image directly in the spatial domain, followed by a saturation adjustment technique performed in RGB space.…”

Section: Introductionmentioning

confidence: 99%

A Novel Watermarking Algorithm for Color Images Based on Discrete Wavelet Transform

Kumar¹,

Anuradha²

2014

IJCEE

View full text Add to dashboard Cite

Abstract-It is very easy to copy and distributed the digital data illegally. There are many methods for solving this issue like intellectual, material right protection and Copy right protection for authors, owners, distributors. As the advancement, invisible double digital watermarking technique has received considerable attention. This paper gives a robust digital watermarking algorithm for color images based on discrete wavelet transform. Here, we choose a suitable method to watermarking algorithm for color images based on Haar discrete wavelet transform. The experiment result are very well, clearly represent the transparence and robustness of the algorithm. The experiment result shown that this algorithm is also secure to various attack.

show abstract

Robust spatial watermarking technique for colour images via direct saturation adjustment

Cited by 81 publications

References 11 publications

Enhanced Nested Video Watermarking Using Wavelets and Geometric Warping

Enhanced Nested Video Watermarking Using Wavelets and Geometric Warping

Data Reduction Algorithm Using Nonnegative Matrix Factorization with Nonlinear Constraints

A Novel Watermarking Algorithm for Color Images Based on Discrete Wavelet Transform

Contact Info

Product

Resources

About