DocumentCode
1814385
Title
An Effective Lossless Hiding Technique Based on Reversible Contrast Mapping and Histogram Embedding Methods
Author
Lu, Tzu-Chuen ; Huang, Ying-Hsuan
Author_Institution
Dept. of Inf. Manage., Chaoyang Univ. of Technol., Taichung, Taiwan
Volume
2
fYear
2009
fDate
18-20 Aug. 2009
Firstpage
599
Lastpage
602
Abstract
Lossless data hiding is a technique that used to embed secret message into media for generating the stego image. The receiver who obtains the stego image can extract the secret message from it and restore the original media via the extraction and recovery image algorithms. Coltuc and Chassery combined look-up table and reversible contrast mapping technique to generate a very fast watermarking embedding scheme in 2007. Their scheme is simple and the hiding capacity is high. In addition, the image quality of the stego image generated by their scheme is fine. However, in their method, absolute difference is used to control image distortion. If the value of the absolute difference is low, then the hiding capacity will be limited and decreased. Therefore, we apply the histogram technique to improve Coltuc and Chassery´s scheme. The experimental results show that the image quality of the proposed scheme is better than that of Coltuc and Chassery´s scheme.
Keywords
feature extraction; image coding; image restoration; steganography; table lookup; watermarking; feature extraction; histogram embedding method; image recovery algorithm; image restoration; look-up table; lossless data hiding technique; reversible contrast mapping technique; stego image; watermarking embedding scheme; Computer hacking; Data encapsulation; Data mining; Histograms; Image generation; Image quality; Image restoration; Information management; Watermarking; Web and internet services; Lossless data hiding; absolute difference; histogram; reversible contrast mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
Conference_Location
Xi´an
Print_ISBN
978-0-7695-3744-3
Type
conf
DOI
10.1109/IAS.2009.113
Filename
5283809
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