An Efficient Image Steganography Approach over Wireless Communication System
Autor: | Fathi Elsaid Abdelsamie, Asmaa Abdelmonem Eyssa, Abdelaziz Elsaid Abdelnaiem |
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Rok vydání: | 2019 |
Předmět: |
Discrete wavelet transform
Channel (digital image) Steganography Orthogonal frequency-division multiplexing Color image business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Encryption Computer Science Applications 0202 electrical engineering electronic engineering information engineering Chrominance 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business |
Zdroj: | Wireless Personal Communications. 110:321-337 |
ISSN: | 1572-834X 0929-6212 |
DOI: | 10.1007/s11277-019-06730-2 |
Popis: | This paper presents a robust color image steganography approach for image communication over wireless communication systems. The objective of this approach is to hide three color images in one color cover image to increase the capacity of hiding as most previously published steganography approaches suffer from a capacity problem. Moreover, the investigation of wireless communication of steganography images is presented in this paper to study the sensitivity of extraction of hidden images to the channel degradation effects, which is not studied appropriately in the literature. The proposed approach depends on the Discrete Cosine and Discrete Wavelet transform. The cover image is first transformed to luminance and chrominance components for embedding the images to be hidden. The secret images are encrypted by chaotic Baker map, which is a good representative of the family of permutation-based algorithms, which tolerate the channel degradations better. The investigated wireless communication system is the Orthogonal Frequency Division Multiplexing system with channel equalization. The simulation results reveal the success of the proposed work for robust image communication. |
Databáze: | OpenAIRE |
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