DocumentCode
643400
Title
Enhanced data hiding method using DWT based on Saliency model
Author
Agarwal, Charul ; Bose, Anjan ; Maiti, Santa ; Islam, Nahina ; Sarkar, Subir Kumar
Author_Institution
Electron. & Commun. Dept., Future Inst. of Eng. & Manage., Kolkata, India
fYear
2013
fDate
26-28 Sept. 2013
Firstpage
1
Lastpage
6
Abstract
Visual saliency signifies the region of perceptual significance in an image to human vision system (HVS). It is the inherent quality that discriminates an object from its neighbors. The Saliency map computes such regions in an image. In this paper, we present the application of Wavelet domain data hiding in such prominent regions. The proposed algorithm embeds information into visually interesting areas within the host image, determined by the visual attention model. This algorithm is very simple in structure but enhanced robustness to survive against various geometric and filtering attacks. A thoroughly verified subjective and objective evaluation speaks out our claim of enhanced ability in maintaining image quality under such impairment.
Keywords
data encapsulation; discrete wavelet transforms; image segmentation; visual perception; DWT; HVS; filtering attacks; geometric attacks; human vision system; image quality; visual attention model; visual saliency map; wavelet domain data hiding; Correlation; Discrete wavelet transforms; Noise; Robustness; Transform coding; Visualization; Watermarking; Human Visual System; Saliency Map; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, Computing and Control (ISPCC), 2013 IEEE International Conference on
Conference_Location
Solan
Print_ISBN
978-1-4673-6188-0
Type
conf
DOI
10.1109/ISPCC.2013.6663414
Filename
6663414
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