K. Heylen, Tim Dams
Digital watermarking of images, the act of hiding a message inside an image, is still a young, yet growing, research field. We have developed an environment in Matlab that allows researchers, teachers and students alike to get acquainted with the concepts of digital image watermarking techniques. This user-friendly environment is divided into two parts. First there is the educational part, which visualizes watermarking techniques and gives users the possibility to observe the results of various attacks. This part can be used as a demonstrator during lectures on image watermarking. The second part is dedicated to a benchmarking tutorial section, which allows users to easily compare watermarking techniques. A user new to the field of benchmarking can simply insert existing or newly developed watermarking algorithms, attacks and metrics into the benchmarking tutorial environment. We also included an attack section that is easy to adjust and extend with new attacks. Furthermore, we provided a report generator that will summarize all the benchmarking results in a clear, visually appealing manner. Through the use of Matlab, we were able to make a framework that is easy to modify, update and expand and also enables everyone to use the existing signal processing libraries of Matlab.
Heylen, K & Dams, T 2008, watermarking benchmark and tutorial tool for Matlab. in MS Schmalz, GX Ritter, J Barrera & JT Astola (eds), Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI. vol. 7075, Proceedings of SPIE, Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet, Stockholm, Sweden, 21/09/09.
Heylen, K., & Dams, T. (2008). watermarking benchmark and tutorial tool for Matlab. In M. S. Schmalz, G. X. Ritter, J. Barrera, & J. T. Astola (Eds.), Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI (Vol. 7075). (Proceedings of SPIE).
@inproceedings{8f0e666cd4fe4cbb97e144b7e9bcf2e6,
title = "watermarking benchmark and tutorial tool for Matlab",
abstract = "Digital watermarking of images, the act of hiding a message inside an image, is still a young, yet growing, research field. We have developed an environment in Matlab that allows researchers, teachers and students alike to get acquainted with the concepts of digital image watermarking techniques. This user-friendly environment is divided into two parts. First there is the educational part, which visualizes watermarking techniques and gives users the possibility to observe the results of various attacks. This part can be used as a demonstrator during lectures on image watermarking. The second part is dedicated to a benchmarking tutorial section, which allows users to easily compare watermarking techniques. A user new to the field of benchmarking can simply insert existing or newly developed watermarking algorithms, attacks and metrics into the benchmarking tutorial environment. We also included an attack section that is easy to adjust and extend with new attacks. Furthermore, we provided a report generator that will summarize all the benchmarking results in a clear, visually appealing manner. Through the use of Matlab, we were able to make a framework that is easy to modify, update and expand and also enables everyone to use the existing signal processing libraries of Matlab.",
keywords = "watermarking, matlab, benchmark",
author = "K. Heylen and Tim Dams",
note = "Mark S. Schmalz, Gerhard X. Ritter, Junior Barrera, Jaakko T. Astola; Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",
year = "2008",
language = "English",
volume = "7075",
series = "Proceedings of SPIE",
editor = "Schmalz, {Mark S.} and Ritter, {Gerhard X.} and Junior Barrera and Astola, {Jaakko T.}",
booktitle = "Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI",
}