DocumentCode :
1637202
Title :
Image Hiding with an Improved Genetic Algorithm and an Optimal Pixel Adjustment Process
Author :
Tseng, Lin-yu ; Chan, Yung-Kuan ; Ho, Yu-An ; Chu, Yen-Ping
Author_Institution :
Dept. of Comput. Sci. & Eng., Chung Hsing Univ., Taichung
Volume :
3
fYear :
2008
Firstpage :
320
Lastpage :
325
Abstract :
Image hiding techniques embed a secret image into a cover image. The fusion of the two, called a stego- image, fools grabbers who would not be conscious of the differences between the cover image and. the stego- image. A secret image can be transferred safely using this technique. In general, we would disarrange each pixel in the secret image and adjust all of them to form a suitable string of bits that could be embedded. Then these bits are embedded into the cover image in corresponding places, and this image would become a stego-image that hides secret data. This paper suggests a new image disarranging technique. It uses an improved genetic algorithm and an Optimal Pixel Adjustment Process, OPAP, to enhance the quality of a Stego-image. Experimental results show that a stego- image is indistinguishable from the cover-image. The stego-image can embed 4 bits per pixel, and the mean- square error of a stego-image is much lower than results for previous methods.
Keywords :
genetic algorithms; image processing; steganography; genetic algorithm; image hiding; optimal pixel adjustment process; stego-image; Computer hacking; Computer science; Cryptography; Design engineering; Genetic algorithms; Genetic engineering; Humans; Image quality; Internet; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
Type :
conf
DOI :
10.1109/ISDA.2008.235
Filename :
4696483
Link To Document :
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