Open AccessRobust Steganography over Noisy Channel
Author(s) -
Fahd Alharbi
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7888.019320
Subject(s) - robustness (evolution) , additive white gaussian noise , computer science , salt and pepper noise , discrete cosine transform , gaussian noise , steganography , speckle noise , frequency domain , noise power , artificial intelligence , algorithm , white noise , computer vision , pattern recognition (psychology) , speckle pattern , telecommunications , image (mathematics) , image processing , median filter , power (physics) , biochemistry , chemistry , physics , quantum mechanics , gene
Steganography is accomplished by frequency or spatial domain. In spatial domain method, the important data are inserted directly into the image's pixels. Alternatively, the coefficients of the image frequency transform like DCT are used to carry the important data. Robustness in the presence of a noise is important. In this paper, the robustness over a noisy channel with noise like Added White Gaussian Noise (AWGN), salt and pepper noise and Speckle noise is investigated. The bit error rate is used for system evaluation. Simulation outcomes demonstrate that the frequency based model is stronger than spatial method against channel noise. Moreover, robustness is enhanced via using error correction.