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     Advance Journal of Food Science and Technology

    Abstract
2015(Vol.9, Issue:5)
Article Information:

A Design of New Fast Image Permutation Approach for Food Intellectual-property Protection

Feng Huang, Wei Zou and Qingzheng Li
Corresponding Author:  Feng Huang 
Submitted: March ‎9, ‎2015
Accepted: April ‎1, ‎2015
Published: August 20, 2015
Abstract:
The security of food image was important in food intellectual-property protection. Permutation could protect security of image which charged the correlation among adjacent pixels. Some chaotic maps were used in image permutation; act as baker map or some other maps. But the plain image must be square. At the same time the plain image always is stretched to a line firstly. Obviously, it wasted precious time. The study found the pixels location could arrange freely using some new maps without stretching and those also could encrypt rectangle images not only square image. The ideas of maps were: firstly the plain image was divided into two halves. Using two different scanning methods it could stretch the halves to two different lines. Then it inserted the pixels of a line into the adjacent pixels of another line in order. Lastly the new line could be fold to a new image. For different of scanning methods, it got some different map patterns. A permutation approach was developed which used those patterns. It used decimal numbers as the keys and could permute rectangle images easily. The permutation process was quite fast and enough safe. Deciphering process was an invertible process using the same keys. Some studies proved that high correlation among adjacent pixels was rapidly charged. The approach could satisfy the most security requirements in Internet.

Key words:  Chaotic map, food intellectual-property protection, image permutation, information security, , ,
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Cite this Reference:
Feng Huang, Wei Zou and Qingzheng Li, . A Design of New Fast Image Permutation Approach for Food Intellectual-property Protection. Advance Journal of Food Science and Technology, (5): 361-366.
ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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