Paper Info
Title
Adaptive Blind Image Watermarking Using Fuzzy Inference System Based on Human Visual Perception.
Abstract
Development of digital content has increased the necessity of copyright protection using watermarking. Imperceptibility and robustness are two important features of watermarking algorithms. The goal of watermarking methods is to satisfy the tradeoff between these two contradicting characteristics. Recently, watermarking methods in transform domains have displayed favorable results. In this paper, we present an adaptive blind watermarking method, which has high imperceptibility in areas that are important to the human visual system. We propose a fuzzy system to control the embedding strength factor adaptively. Image saliency, intensity, and edge-concentration are shown to be important to a human observer and are hence used as fuzzy attributes. Embedding is performed in the discrete cosine transform of the wavelet domain to achieve high imperceptibility and acceptable robustness. Experimental results show the superiority of the proposed algorithm over comparable methods.
Year
DOI
Venue
2017
10.3233/JIFS-171805
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Blind watermarking,fuzzy system,saliency,discrete wavelet transform,adaptive strength factor
Computer vision,Digital watermarking,Pattern recognition,Computer science,Human visual system model,Discrete cosine transform,Fuzzy logic,Watermark,Robustness (computer science),Artificial intelligence,Fuzzy control system,Adaptive control
Journal
Volume
Issue
ISSN
35
4
1064-1246
Citations 
PageRank 
References 
1
0.36
0
Authors
7
Name
Order
Citations
PageRank
Maedeh Jamali110.70
Shima Rafiee210.36
S. M. Reza Soroushmehr3302.70
Nader Karimi414532.75
Shahram Shirani525037.41
Kayvan Najarian626259.53
Shadrokh Samavi723338.99