Color Image Watermarking Using MATLAB - Phadikar, Amit
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Now-a-days an image is very much essential for daily life applications such as satellite television, medical imaging, and computer tomography etc. However, using the form of digital media, the art works can be duplicated without any quality degradation. This property of digital technology has encouraged thieves and discouraged the creator of the digital art works. The security and fair use of multimedia data are important, as well as challenging problems. This book focuses on theory, related research works and design of two robust region specific watermarking methods for color images. The…mehr

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Produktbeschreibung
Now-a-days an image is very much essential for daily life applications such as satellite television, medical imaging, and computer tomography etc. However, using the form of digital media, the art works can be duplicated without any quality degradation. This property of digital technology has encouraged thieves and discouraged the creator of the digital art works. The security and fair use of multimedia data are important, as well as challenging problems. This book focuses on theory, related research works and design of two robust region specific watermarking methods for color images. The first algorithm is in spatial domain, while the second one is in wavelet domain. In the both algorithms, quadtree is used to find the watermarking regions, while channel coding is used to improve the robustness of the both schemes. Moreover, MATLAB code is given at the end of the book for better understanding of the above algorithms. This book would be useful for research scholars, manufacturers& vendors and technicians. This book can also be used as a text for university undergraduate courses related to multimedia security, as well as at junior colleges, and vocational schools training course.
Autorenporträt
Dr. Amit Phadikar received his PhD degree in Information Technology in 2011 from BESU, Shibpur, India. Presently he is working as Associate Professor in the Department of IT, MCKVIE, Liluah, India. His research areas include digital image and signal processing. He has contributed about 40 research papers in reputed journals and conferences.