Title
An adaptive hybrid fuzzy-wavelet approach for image steganography using bit reduction and pixel adjustment.
Abstract
Transform-based techniques partially address challenges like robustness and the imperceptibility in image steganography. Such approaches, however, increase the memory requirement and reduce the quality of the cover image and hiding capacity. Moreover, the steganography is always coupled with cryptography to strengthen the confidentiality. This paper presents an adaptive hybrid method for image steganography procedure based on bit reduction and pixel adjustment using the fuzzy logic and integer wavelet transform technique. The fuzzy set theory provides powerful tools to represent and process human knowledge in the form of fuzzy if-then rules that can resolve difficulties in image processing arising due to the uncertainty of the data, tasks, and results. We apply a bit reduction algorithm to each byte of the data which are to hide in the cover image. This decreases the memory usage and increases the capacity. The embedding of the input text into the cover image distorts the cover image. Hence, to minimize the visual difference between the cover image and the text embedded image, an optimum pixel adjustment algorithm is applied to the text embedded image. Simulation results demonstrate the effectiveness of our proposed approach.
Year
DOI
Venue
2018
10.1007/s00500-017-2944-5
Soft Comput.
Keywords
Field
DocType
Steganography, Watermarking, Cryptography, Fuzzy logic, Integer wavelet transform, Optimum pixel adjustment algorithm
Byte,Steganography,Digital watermarking,Pattern recognition,Computer science,Fuzzy logic,Image processing,Theoretical computer science,Robustness (computer science),Fuzzy set,Artificial intelligence,Pixel
Journal
Volume
Issue
ISSN
22
5
1432-7643
Citations 
PageRank 
References 
1
0.34
12
Authors
8
Name
Order
Citations
PageRank
Imran Shafi1416.37
Muhammad Noman210.34
Moneeb Gohar310314.53
Awais Ahmad437945.85
Murad Khan515022.14
Sadia Din68719.55
Syed Hassan Ahmad710.34
Jamil Ahmad838135.12