IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Embedding Robust Gray-Level Watermark in an Image Using Discrete Cosine Transformation

Embedding Robust Gray-Level Watermark in an Image Using Discrete Cosine Transformation
View Sample PDF
Author(s): Chwei-Shyong Tsai (National Chung Chang University, Taiwan)and Chin-Chen Chang (National Taichung Institute of Technology, Taiwan)
Copyright: 2002
Pages: 18
Source title: Distributed Multimedia Databases: Techniques and Applications
Source Author(s)/Editor(s): Timothy K. Shih (Tamkang University, Taiwan)
DOI: 10.4018/978-1-930708-29-7.ch013

Purchase

View Embedding Robust Gray-Level Watermark in an Image Using Discrete Cosine Transformation on the publisher's website for pricing and purchasing information.

Abstract

Digital watermarking is an effective technique to protect the intellectual property rights of digital images. In general, a gray-level image can provide more perceptual information; moreover, the size of each pixel in the gray-level image is bigger. Commonly, gray-level digital watermarks are more robust. In this chapter, the proposed watermarking scheme adopts a gray-level image as the watermark. In addition, discrete cosine transformation (DCT) technique and quantization method are applied to strengthen the robustness of the watermarking system. Both original image and digital watermark, processed by DCT transformation, can build a quantization table to reduce the information size of the digital watermark. After quantized watermark is embedded into the middle frequency bands of the transformed original image, the quality of the watermarked image is always visually acceptable because of the effectiveness of the quantization technique. The experimental results show that the embedded watermark can resist image cropping, JPEG lossy compression, and destructive processes such as image blurring and sharpening.

Related Content

Nithin Kalorth, Vidya Deshpande. © 2024. 7 pages.
Nitesh Behare, Vinayak Chandrakant Shitole, Shubhada Nitesh Behare, Shrikant Ganpatrao Waghulkar, Tabrej Mulla, Suraj Ashok Sonawane. © 2024. 24 pages.
T.S. Sujith. © 2024. 13 pages.
C. Suganya, M. Vijayakumar. © 2024. 11 pages.
B. Harry, Vijayakumar Muthusamy. © 2024. 19 pages.
Munise Hayrun Sağlam, Ibrahim Kirçova. © 2024. 19 pages.
Elif Karakoç Keskin. © 2024. 19 pages.
Body Bottom