Application of Adaptive Watermarking for Efficient Image Annotation: High Speed & Highly Secured Image Annotation Using Soft and Hard Watermarks

Kalaskar, Anup; Jadhav, Shilpa

ISBN 10: 3659250937 / ISBN 13: 9783659250934

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

PRINT ON DEMAND.

Seller Inventory # 18357326026

Bibliographic Details

• Title: Application of Adaptive Watermarking for Efficient Image Annotation: High Speed & Highly Secured Image Annotation Using Soft and Hard Watermarks
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659250937
• ISBN 13: 9783659250934
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Digital watermarking is a technique which allows an individual to add hidden copyright notices or other verification messages to digital audio, video, or image signals and documents. Such hidden message is a group of bits describing information pertaining to the signal or to the author of the signal (name, place, etc.). The technique takes its name from watermarking of paper or money as a security measure.The objective is to embed 32 bits of metadata into a single image, Our scheme hides the data in spatial domain. This method takes an image file and 32-bit Meta data and produces a new image file that contains the 32-bit Meta data. The output image is called Annotated image file and it is similar to the input image file. Adaptive Watermark technique identity parts of the image that are most suited for data hiding. The model is built by embedding two basic watermarks: a pilot watermark that locate the existence of the watermark and an information watermark that carries a payload of several dozen bits.

About the Author

Prof.A.V.Kalaskar isM.Tech in Microelectronics & VLSI Design and currently working asAssistant Professor in Electronics & telecommunication Department at IBSS College of Engineering, Amravati, Maharashtra, India. Also having international paper's published in different journal's on his name.