Adaptive Watermarking utilizing Psycho-visual perception | Application to Digital Images

S. Kavitha (u. a.)

ISBN 10: 3659419168 / ISBN 13: 9783659419164

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

Adaptive Watermarking utilizing Psycho-visual perception | Application to Digital Images | S. Kavitha (u. a.) | Taschenbuch | 104 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659419164 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Adaptive Watermarking utilizing Psycho-visual perception | Application to Digital Images
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659419168
• ISBN 13: 9783659419164
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 173 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

For legal authentication of digital images, watermarking is a well-established tool. Watermarking in document images is necessary for authentication of digital library based applications, mostly. Signature, logo or time stamp can be embedded into digital image without any perceptual variance. On the other hand, for efficient utilization of storage space and bandwidth of communication channel, digital images are compressed ensuring fair amount of quality. This book aims at developing an adaptive invisible watermarking on such compressed digital images. In our method we have addressed compressed images and found relatively redundant DCT coefficients for data embedding with maximized payload. Watermarking on a digital image leads to identify the non-perceptible regions of a digital image. The Discrete Cosine Transformation (DCT) based adaptive watermarking scheme is obtained using hybridization of psycho-visual saliency & Watson’s perception model (DCTune). The interpretation of saliency in frequency domain is exploited to ensure the watermarking technique adaptive with respect to the size of data to be embedded by modifying capacity of digital image cover.

About the Author

Authors are working in Imaging Lab of HCL Technologies Ltd., India. Apurba has more than 10 years of experience in industry and academic R&D in the domain of Image Processing and Pattern Recognition. Authors have plenty of published papers & 4 published books. A number of invention disclosures are filed from their lab. in early 2013.