Paper Title :Data Embedding using Modified Adaptive Pixel Pair Matching and Discrete Wavelet Transform

Author :Nan Mo Kham, Nang Aye Aye Htwe, Khinmyo Thant

Article Citation :Nan Mo Kham ,Nang Aye Aye Htwe ,Khinmyo Thant , (2017 ) " Data Embedding using Modified Adaptive Pixel Pair Matching and Discrete Wavelet Transform " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 29-33, Volume-5,Issue-10

Abstract : Information security is very important part of IT industries in today’s life and it’s a rapidly growing area in IT sector. Data hiding is one of the emerging techniques that provide for securityby hiding secret information into the multimedia contents by altering some components in the cover file.This paper proposes a secure information system in image steganography based on frequency domain and a secure method for data hiding based on modified Adaptive Pixel Pair Matching. The basic idea of Adaptive Pixel Pair Matching (APPM) is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a given message digit. The pixel pair is then replaced by the searched coordinate to conceal the digit. Adaptive Pixel Pair Matching is modified with B-ary notational system and modular distance in this proposed system. Original APPM directly changes the reference coordinate and search coordinate to embed the secret data. Modified APPM chooses reference coordinate with modular distance value if multiple reference coordinate have same search coordinate. So the proposed method getsstego image with less distortion after embedding secret data.Discrete wavelet transform (DWT) is also usedto decomposecover mediaImage quality measures used for analysis are Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) after embedding the secret image. Keywords - Adaptive Pixel Pair Matching (APPM), Discrete Wavelet Transform(DWT), Mean Square Error (MSE),Peak Signal to Ratio (PSNR)

Type : Research paper

Published : Volume-5,Issue-10

	|		PDF	|	Viewed - 56	|	Published on 2017-12-28