Fuzzy Inference System Based Robust Digital Image Watermarking Technique using Discrete Cosine Transform

被引：14

作者：

Jagadeesh, B. ^{[1
]}

Kumar, P. Rajesh ^{[2
]}

Reddy, P. Chenna ^{[3
]}

机构：

[1] GVP Coll Engn, ECE Dept, Visakhapatnam, Andhra Pradesh, India

[2] Andhra Univ, ECE Dept, Visakhapatnam, Andhra Pradesh, India

[3] JNTUA Coll Engn, CSE Dept, Kadapa, AP, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES, ICICT 2014 | 2015年 / 46卷

关键词：

Digital Image Watermarking; Discrete Cosine Transform; Human Visual System; Fuzzy Inference System; Normalized Cross Correlation; Peak Signal to Noise Ratio;

D O I：

10.1016/j.procs.2015.02.095

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digital Watermarking has evolved as one of the latest technologies for digital media copyright protection. Watermarking of images can be done in many ways and one of the proposed algorithms for image watermarking is by utilizing Fuzzy Logic. It is similar to the concept of a Fuzzy set, each element can be defined by an ordered pair, in which one is the value and other is the membership function value. Fuzzy logic systems can explain inaccurate information and explain their decisions. Fuzzy inference system is the simplest way of performing Fuzzy Logic. In the proposed method, three Fuzzy inference models are used to generate the weighing factor for embedding the watermark and input to the Fuzzy Inference System is taken from the Human Visual System model. The Performance measures used in the Process are Peak Signal to Noise Ratio, Normalized Cross Correlation. The Proposed algorithm is immune to various Image Processing attacks. (C) 2015 The Authors. Published by Elsevier B.V.

引用

页码：1618 / 1625

页数：8

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