DocumentCode :
1721560
Title :
Image hiding and extraction algorithm based on intensity quantization and block random scrambling
Author :
Junhuan, Lin ; Yuefen, Chen
Author_Institution :
Mech. & Electr. Eng. Dept., Taizhou Vocational Tech. Coll., Taizhou, China
Volume :
2
fYear :
2010
Abstract :
Information hiding technology is studied in this paper, and a new image hiding algorithm based on intensity quantization and block random scrambling is proposed in this paper. The information is embedded into the carrier image in space domain, and when reconstructing the secret information, noise detection is performed before inverse quantization. A simple system of image hiding and extraction using the proposed algorithm based on Matlab is realized, and its resistance to noising, cropping and scribbling is simulated Results verifies the validity of the proposed algorithm and it has the advantages of simple implementation, large hiding capacity and good anti-noising and cropping performance.
Keywords :
data encapsulation; feature extraction; image denoising; mathematics computing; Matlab; block random scrambling; image cropping; image denoising; image extraction algorithm; image hiding; image scribbling; intensity quantization; Correlation; Image reconstruction; Noise; Pixel; Quantization; Signal processing algorithms; Image hiding; intensity quantization; noise detection; random scrambling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555773
Filename :
5555773
Link To Document :
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