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

Digital audio, video, images, and documents are flying through cyberspace to their respective owners. Unfortunately, along the way, individuals may choose to intervene and take this content for themselves. Digital watermarking and steganography technology greatly reduces the instances of this by limiting or eliminating the ability of third parties to decipher the content that he has taken. The many techiniques of digital watermarking (embedding a code) and steganography (hiding information) continue to evolve as applications that necessitate them do the same. The authors of this second edition provide an update on the framework for applying these techniques that they provided researchers and professionals in the first well-received edition. Steganography and steganalysis (the art of detecting hidden information) have been added to a robust treatment of digital watermarking, as many in each field research and deal with the other. New material includes watermarking with side information, QIM, and dirty-paper codes. The revision and inclusion of new material by these influential authors has created a must-own book for anyone in this profession.

*This new edition now contains essential information on steganalysis and steganography
*New concepts and new applications including QIM introduced
*Digital watermark embedding is given a complete update with new processes and applications

Digital Watermarking and Steganography

Watermarking, which belong to the information hiding field, has seen a lot of research interest. There is a lot of work begin conducted in different branches in this field. Steganography is used for secret communication, whereas watermarking is used for content protection, copyright management, content authentication and tamper detection. In this paper we present a detailed survey of existing and newly proposed steganographic and watermarking techniques. We classify the techniques based on different domains in which data is embedded. We limit the survey to images only.

/pdf/a-survey-of-digital-image-watermarking-techniques-375an9lx3z.pdf

A survey of digital image watermarking techniques

A wavelet domain watermark encoder and decoder embed and detect auxiliary signals in a media signal, such as a still image, video or audio signal. The watermark encoders and decoders employ techniques that take advantage of processing plural levels of resolution of the signal to embed and detect auxiliary information in the media signal.

Wavelet domain watermarks

Food is essential for human life and it is fundamental to the human experience. Food-related study may support multifarious applications and services, such as guiding human behavior, improving human health, and understanding the culinary culture. With the rapid development of social networks, mobile networks, and Internet of Things (IoT), people commonly upload, share, and record food images, recipes, cooking videos, and food diaries, leading to large-scale food data. Large-scale food data offers rich knowledge about food and can help tackle many central issues of human society. Therefore, it is time to group several disparate issues related to food computing. Food computing acquires and analyzes heterogenous food data from different sources for perception, recognition, retrieval, recommendation, and monitoring of food. In food computing, computational approaches are applied to address food-related issues in medicine, biology, gastronomy, and agronomy. Both large-scale food data and recent breakthroughs in computer science are transforming the way we analyze food data. Therefore, a series of works has been conducted in the food area, targeting different food-oriented tasks and applications. However, there are very few systematic reviews that shape this area well and provide a comprehensive and in-depth summary of current efforts or detail open problems in this area. In this article, we formalize food computing and present such a comprehensive overview of various emerging concepts, methods, and tasks. We summarize key challenges and future directions ahead for food computing. This is the first comprehensive survey that targets the study of computing technology for the food area and also offers a collection of research studies and technologies to benefit researchers and practitioners working in different food-related fields.

A Survey on Food Computing

In this paper, a method for digital image watermarking is described that is resistant to geometric transformations. A private key, which allows a very large number of watermarks, determines the watermark, which is embedded on a ring in the DFT domain. The watermark possesses circular symmetry. Correlation is used for watermark detection. The original image is not required in detection. The proposed method is resistant to JPEG compression, filtering, noise addition, scaling, translation, cropping, rotation, printing and rescanning. Experimental results prove the robustness of this method against the aforementioned attacks.

Circularly symmetric watermark embedding in 2-D DFT domain

This paper presents an algorithm for rotation and scale invariant watermarking of digital images. An invisible mark is embedded in magnitude of the DFT domain. It is robust to compression, filtering, cropping, translation and rotation. The watermark introduces image changes that are invisible to the human eye. The detection algorithm does not require the original image.

Digital products are easy to copy, reproduce, and maliciously process in a network environment Over the past decade, watermarking has emerged as an important technology for protecting copyright of multimedia products We present a method for embedding and detecting watermarks in vector graphics images containing polygonal lines, and present results from simulated attacks Our proposed algorithm embeds watermarks in polygonal lines describing image contours These contours are usually described in vector format Our watermarking method slightly modifies the vertex coordinates of the polygonal line We embed the watermark in the magnitude of the curve's Fourier descriptors to exploit its location, scale, and rotation invariant properties Our technique has certain similarities to bitmap image watermarking in the discrete Fourier transform (DFT) domain However, it's essentially different because it can be applied to vector rather than bitmap images Furthermore, Fourier descriptor watermarking problems differ from DFT bitmap image watermarking problems

Watermarking polygonal lines using Fourier descriptors

A method for watermarking of polygonal lines is proposed. The watermark is embedded in the Fourier descriptors of the polygonal line causing minor distortions to the coordinates of the vertices of the polygonal line. Watermarks generated by this technique can be successfully detected even after rotation, translation, scaling and reflection of the host polygonal line.

A benchmarking system for watermarking algorithms is described. The proposed benchmarking system can be used to evaluate the performance of watermarking methods used for copyright protection, authentication, fingerprinting, etc. Although the system described is used for image watermarking, the general framework can be used, by introducing a different set of attacks, for benchmarking of video and audio data.

A benchmarking protocol for watermarking methods

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Circularly symmetric watermark embedding in 2-D DFT domain

Circularly symmetric watermark embedding in 2-D DFT domain

Watermarking polygonal lines using Fourier descriptors

Watermarking polygonal lines using Fourier descriptors

A benchmarking protocol for watermarking methods