DocumentCode :
2573145
Title :
Image authentication technology based on semi-fragile scrambling watermarking
Author :
Gao, Zhirong ; Lü, Jin
Author_Institution :
Dept. of Comput. Sci., South-Central Univ. for Nat., Wuhan, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
3268
Lastpage :
3271
Abstract :
In order to distinguish the conventional image manipulation and malicious tampering more effectively , this paper implements an image authentication algorithm based on semi-fragile scrambling watermarking. The original image is firstly decomposed into pixel-based bit-planes, then the Arnold scrambled binary watermarking is embedded as a mask information into a particular bit-plane of original image. In the image detection side, the extracted watermarking is combined with a tamper assessment function to determine the credibility of image authentication. Experimental results show that the algorithm is robust to several conventional image manipulation like brightness adjusted, JPEG compression, salt and pepper noise ,and median filtering ,and which is simultaneously fragile to malicious tampering .The position of malicious tampering can be localized accurately.
Keywords :
authorisation; feature extraction; image coding; image watermarking; median filters; Arnold scrambled binary watermarking; JPEG compression; brightness adjustment; image authentication algorithm; image detection; image manipulation; malicious tampering; median filtering; pixel-based bit-planes; salt and pepper noise; semifragile scrambling watermarking; tamper assessment function; watermarking extraction; Authentication; Classification algorithms; Discrete cosine transforms; PSNR; Robustness; Transform coding; Watermarking; Arnold Transform; Image Authentication; Semi-fragile Watermarking; Tamper Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5972086
Filename :
5972086
Link To Document :
بازگشت