A Wavelet Transform Based Image Authentication Approach Using Genetic Algorithm (AWTIAGA)

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 248)

Abstract

Steganography is the technique of hiding confidential information within a media. In this paper a Genetic Algorithm based image authentication technique in transformed domain using haar wavelet transform is proposed. Wavelet transform is applied on sub mask of the source image to obtain transformed coefficients. Bits of the hidden image are embedded on each coefficients of sub mask with BPP of two. The hidden bit positions are chosen in such a way that there is no loss of precession during reverse wavelet transform. Resultant stego image is obtained through inverse transform which is input for the Genetic Algorithm. Genetic algorithm is applied on it to enhance a layer of security. New Generation followed by Crossover is applied on initial population. Reverse process is followed during decoding. The proposed algorithm obtains better image fidelity and high PSNR as compared to existing approach Huang et al [1].

Keywords

Steganography Frequency Domain Peak Signal to Noise Ratio (PSNR) Least Significant Bit (LSB) Image Fidelity (IF) Mean Square Error (MSE) BPP (Bit Per Pixel) 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Dept. of Computer Science and EngineeringFuture Institute of Engineering & ManagementKolkataIndia
  2. 2.Dept. of Computer Science and EngineeringUniversity of KalyaniKalyani, NadiaIndia

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