Open AccessComparison of n-LSB embedding approach in different color spaces
Author(s) -
Özcan Çataltaş,
Kemal Tütüncü
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/675/1/012029
Subject(s) - steganography , rgb color model , cover (algebra) , embedding , color space , ycbcr , least significant bit , computer science , computer vision , artificial intelligence , color depth , distortion (music) , mathematics , color image , process (computing) , palette (painting) , image (mathematics) , image processing , telecommunications , statistics , engineering , bandwidth (computing) , mechanical engineering , amplifier , operating system
Today, secure communication is one of the biggest goals that people want to achieve. There are many different methods to ensure security in data communication. Steganography is one of the methods that can be used in secure data communication. In this study, n-LSB embedding method based on reducing the amount of distortion generated by the classical Least Significant Bit substitution method that we introduced in another study has been applied in both RGB color space and HSI, XYZ and YCbCr color spaces. In the embedding process, 3 message bits were embedded in each color channel. 7.94 kb data is embedded on 3 different cover images. The obtained results were compared with the PSNR criterion, which is the criterion of image quality evaluation, and it is seen that proposed n-LSB approach gives better results in HSI color space for 3 cover images. The highest PSNR value obtained was 83.907 dB.