Digital watermarking is a key ingredient to copyright protection. It provides a solution to illegal copying of digital material and has many other useful applications such as broadcast monitoring and the recording of electronic transactions. Now, for the first time, there is a book that focuses exclusively on this exciting technology. Digital Watermarking covers the crucial research findings in the field: it explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied. As a result, additional groundwork is laid for future developments in this field, helping the reader understand and anticipate new approaches and applications.

Digital Watermarking

The objective of this paper is to give a comprehensive introduction to applied cryptography with an engineer or computer scientist in mind. The emphasis is on the knowledge needed to create practical systems which supports integrity, confidentiality, or authenticity. Topics covered includes an introduction to the concepts in cryptography, attacks against cryptographic systems, key use and handling, random bit generation, encryption modes, and message authentication codes. Recommendations on algorithms and further reading is given in the end of the paper. This paper should make the reader able to build, understand and evaluate system descriptions and designs based on the cryptographic components described in the paper.

[서평]「Applied Cryptography」

A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details. A novel guided filtering-based weighted average technique is proposed to make full use of spatial consistency for fusion of the base and detail layers. Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of multispectral, multifocus, multimodal, and multiexposure images.

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Image Fusion With Guided Filtering

Pixel-level image fusion

Infrared and visible image fusion methods and applications: A survey

� Abstract—Three watermarking methods are introduced that can be used to count the number of times that a user has played some digital content. The proposed methods have been tested with audio content in our experimental system using the most common signal processing attacks. The test results show that the watermarking methods used enable the counter to be extracted under the most common attacks with a low bit error rate. The counter has been implemented in a mobile phone and the computation times of the watermark embedding and extraction have been measured with the implementation.

Watermark-based Counter for Restricting Digital Audio Consumption

In this paper channel capacity analysis of spread spectrum audio watermarking (SSW) system for transmission of hidden information through a noisy environment is performed. Channel capacity analysis of algorithm enables us to determine the most reliable transmission rate of hidden information by the watermarking system, i.e. the analysis makes a relation between capacity and robustness as two conflicting features of watermarking algorithms. Examining transmission and detection of hidden information shows that SSW behaves like a binary symmetric channel. It is proved that well known Shannon channel capacity formula for calculating channel capacity is not applicable for SSW system. Instead, analysis of channel capacity for additive color noise channels should be used. Obtaining channel capacity for SSW system using pseudo-noise random sequences with different period, different power of additive white Gaussian noise channel and different power of host signal is performed in simulation results.

Channel Capacity Analysis of Spread Spectrum Audio Watermarking for Noisy Environments

In this paper we present an improved error correction approach for digital audio watermarking. It uses a turbo coding algorithm that takes into account temporal variations of the host audio's statistical properties, using a turbo decoder that estimates the unknown host audio distribution in the watermarked audio. Experimental results showed nearly one order of magnitude of the BER decrease during watermark extraction, compared to the basic turbo decoding that does not use noise estimation.

Audio watermark detection improvement by using noise modelling

SPIE Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, Orlando, FL

In this paper we present a novel fusion method in ICA domain. The method uses nonlinear shrinkage of the coefficients in ICA domain to determine the ICA coefficients to be used in the fused image reconstruction, so that the noise transferred from input images into the fused output is minimized. Experimental results have shown that it has improved performance in the presence of noise, compared to the basic ICA algorithm. Compared to standard multiresolutional fusion methods, the noise in the fused image is visually less annoying, while the important detail is still adequately represented. The proposed method exhibits considerably higher fusion performance, measured by Piella and Petrovic fusion metric, than the basic ICA algorithm and improvement over other state-of-the-art algorithms.

Nedeljko Cvejic

Papers

Watermark-based Counter for Restricting Digital Audio Consumption

Channel Capacity Analysis of Spread Spectrum Audio Watermarking for Noisy Environments

Audio watermark detection improvement by using noise modelling

SPIE Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, Orlando, FL

Improving Performance of ICA Domain Multimodal Image Fusion in Presence of Noise