DocumentCode :
117961
Title :
Chaotic map based steganography of gray scale images in wavelet domain
Author :
Garg, Shelly ; Mathur, Manisha
Author_Institution :
Dept. of Electron. & Commun., Delhi Technol. Univ., New Delhi, India
fYear :
2014
fDate :
20-21 Feb. 2014
Firstpage :
689
Lastpage :
694
Abstract :
In this study, we proposed a method of hiding the stego image in cover image by using a technique called fractional fourier transform with wavelet coefficients. Application of steganography is internet/web security. To maintain higher security Arnold transform is performed on host image with key, key is only known to a receiver/sender. For embedding, perform a fractional Fourier transform of cover image and secret image. Then apply DWT on both images. Cover image and secret image will added by using a technique called alpha blending which can add foreground with background color and wavelet coefficients of both images. Stego image will be extracted by applying IDWT (Inverse Discrete Wavelet Transform). For extracting, cover image will subtracted from stego image by using alpha blending. Secret image will be produced. By considering different aspects we have investigated the results of our scheme. This proposed method provides higher security, robustness against different attacks, good feasibility.
Keywords :
Fourier transforms; discrete wavelet transforms; image coding; steganography; Arnold transform; IDWT; Internet security; Web security; alpha blending; chaotic map based steganography; cover image; fractional Fourier transform; gray scale images; inverse discrete wavelet transform; secret image; stego image hiding; wavelet domain; Discrete wavelet transforms; Fourier transforms; Robustness; Security; Signal processing; Arnold transform; Steganography; alpha blending; scrambling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-2865-1
Type :
conf
DOI :
10.1109/SPIN.2014.6777043
Filename :
6777043
Link To Document :
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