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
Link To Document :
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