Research On Image Scrambling Algorithm And Evaluation

Nowadays more and more internet information are transmitting as pictures or videos. How to transmit secretly in order to protect people’s personal privacy issues or national secrets has been a vital important problem. The most straightforward and simple solution for this problem is hiding and encrypting, useful information before transmission. As an information hiding technique, image scrambling has been widely applied in encryption, information security, cognitive science, etc., and drawing the attention of more and more researchers. The main research content is as follows:(1) Based on the analysis the advantages and disadvantages of space position scrambling method, on the basis of combining the advantages of color space image scrambling technology, proposed the Arnold and the integration of Gray code transformation of double hashing algorithm, makes the processed image information on the position and color space can be well hidden. The simulation experimental results show that the method can be a very good application in image processing, provide better assurance work for the pretreatment of information hiding.(2) From the perspective of position space and color space at the same time, we design a double hashing algorithm based on Fibonacci transformation. This algorithm is based on both the image position space and color space simultaneously scrambling thoughts, on the basis of using the Fibonacci algorithm, joined the Logistic chaotic transform algorithm, realize the double image scrambling to deal with. Through simulation experiment, the algorithm after several scrambling transformation, image transform desultorily, uniform distribution to the whole image, the scrambling effect is very good.(3) Assessment method from the traditional image of a detailed analysis of several commonly used assessment method, and through simulation experiment, for details of the image scrambling degree. And from the present study of comprehensive evaluation method of image research perspective, introduces in detail three kinds of novel scrambling evaluation methods, through the simulation experiments compared to obtain the very good scrambling effect, further proves the advantages of the new method.