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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5720
Title: Visible watermarking based on importance and just noticeable distortion of image regions
Authors: Agarwal H.
Sen D.
Raman, Balasubramanian
Kankanhalli M.
Published in: Multimedia Tools and Applications
Abstract: Visible watermarking is the process of embedding data (watermark) into a multimedia object (video/image) such that the embedded watermark is perceptible to a human observer. Many times, visible watermarks occlude important portion of multimedia objects. This paper introduces a visible watermarking algorithm to embed a binary logo watermark at N non-overlapping positions in an image such that important portions of the image are not occluded. The important portions are found through visual saliency computation or available human eye fixation density maps. In the proposed visible watermarking, just noticeable distortion is used to adaptively filter the watermark embedding energy based on the image content. A mathematical model in terms of information-content-weighted-structural-similarity-index and visual importance is proposed to find optimal watermark embedding strength. We tested the algorithm on several color images of different sizes and on several binary watermarks of different sizes and found the results to be very promising as per the requirements in visible watermarking. When compared to the state-of-the-art, we also found that the proposed technique does better in not hiding the details of any test image. © 2015, Springer Science+Business Media New York.
Citation: Multimedia Tools and Applications (2016), 75(13): 7605-7629
URI: https://doi.org/10.1007/s11042-015-2685-3
http://repository.iitr.ac.in/handle/123456789/5720
Issue Date: 2016
Publisher: Springer New York LLC
Keywords: Eye fixation density
Information-content-weighted-structural-similarity-index (IW-SSIM)
Just noticeable distortion (JND)
Visible watermarking
Visual saliency
ISSN: 13807501
Author Scopus IDs: 55371838100
16032436800
23135470700
7003629165
Author Affiliations: Agarwal, H., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Sen, D., School of Computing, National University of Singapore, Singapore, Singapore
Raman, B., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Kankanhalli, M., School of Computing, National University of Singapore, Singapore, Singapore
Corresponding Author: Agarwal, H.; Department of Mathematics, Indian Institute of Technology RoorkeeIndia; email: himanshu203@gmail.com
Appears in Collections:Journal Publications [CS]

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