Evaluation the Perceptual Quality of Watermarked Images Based on Combination of Fuzzy Similarity Measures Using Neural Network
In this paper, focus is placed on the design a new evaluator to assess the quality of the image watermarking techniques. The main idea is the introduction of an image quality evaluator dependent on a combination of five fuzzy logic-based similarity measures and neural network. In the first stage, fuzzy similarity measures are computed as features of each pair of original and watermarked images and these features are used as input to neural network. In the second stage, these features are combined by using neural network to predict a subjective image quality, known as the Mean Opinion Score (MOS) automatically. The performance of the suggested evaluator is assessed in terms of good correlation with the MOS using the image watermarked database (IVC image database). Experimental results, using 210 tested images, show that the evaluation outputs correlate highly with the MOS scores.
Keywords: Image Quality Evaluation, Fuzzy Similarity Measures, Neural network.
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ABOUT THE AUTHORS
Methaq Talib Gaata
Methaq Gaata received the B.S. in computer sciences from Faculty of Sciences, Al- Mustansiriyah University, IRAQ in 2002. He received the M.Sc. in computer sciences from computer sciences department, Technology University, IRAQ in 2005. He now preparing for Ph.D. degree in computer sciences. His interests include signal processing, image processing, watermarking and information security.
Sattar B. Sadkhn
Sattar Sadkhn is a member of the IEEE and Chairman of IEEE IRAQ Section, Chairman of URSI - IRAQ Community, Editor -in-Chief of IJACT in South Korea, Member of Scientific Research Committee-IMPACT- Malaysia. His interests include signal processing, image processing, watermarking, digital communication systems and Information Security.
Saad T. Hasson
Saad Hasson is currently a professor and head of computer sciences Department, Faculty of Sciences, Babylon University, IRAQ. His research interests focus on digital signal processing, image processing and mathematical modeling.
Methaq Talib Gaata
Methaq Gaata received the B.S. in computer sciences from Faculty of Sciences, Al- Mustansiriyah University, IRAQ in 2002. He received the M.Sc. in computer sciences from computer sciences department, Technology University, IRAQ in 2005. He now preparing for Ph.D. degree in computer sciences. His interests include signal processing, image processing, watermarking and information security.
Sattar B. Sadkhn
Sattar Sadkhn is a member of the IEEE and Chairman of IEEE IRAQ Section, Chairman of URSI - IRAQ Community, Editor -in-Chief of IJACT in South Korea, Member of Scientific Research Committee-IMPACT- Malaysia. His interests include signal processing, image processing, watermarking, digital communication systems and Information Security.
Saad T. Hasson
Saad Hasson is currently a professor and head of computer sciences Department, Faculty of Sciences, Babylon University, IRAQ. His research interests focus on digital signal processing, image processing and mathematical modeling.
