2014
DOI: 10.21307/ijssis-2017-715
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Design of Digital Image Encryption Algorithm Based On Mixed Chaotic Sequences

Abstract: Abstract-Digital image scrambling is to transform a digital image, to make it unrecognizable and become another chaos images without obvious meaning. If the operator knows the algorithms, he can reconstruct the original image from the chaos image by using the certain algorithms. Image scrambling encryption technology that based on Chaos Theory encrypts the image data stream through using the chaotic signal. It has the advantage like high security, encryption speed, large key space, and good scrambling effect. … Show more

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Cited by 7 publications
(5 citation statements)
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“…The criteria to determine the threshold is: (1) the texture of the image surface in display is clear. (2) When the edge profile is intact, the dark area of mirror surface is relatively dark except for a few interference or noise. Then binary threshold value can be determined and used as a segmentation threshold of the image segmented.…”
Section: Road Crack Image Processingmentioning
confidence: 99%
See 1 more Smart Citation
“…The criteria to determine the threshold is: (1) the texture of the image surface in display is clear. (2) When the edge profile is intact, the dark area of mirror surface is relatively dark except for a few interference or noise. Then binary threshold value can be determined and used as a segmentation threshold of the image segmented.…”
Section: Road Crack Image Processingmentioning
confidence: 99%
“…With the rapid development of computer technology and image processing technology [1,2], the identification technology based on the digital image of road damage has attracted more and more attention. Compared with the traditional manual detection identification technology, the identification technology of road damage based on image recognition technology can identify the damage road pavement quickly, efficiently and accurately.…”
Section: Introductionmentioning
confidence: 99%
“…Applying the alternating direction method of multipliers(ADMM) [18] to equation (11), which can be translated into the following form:…”
Section: Csmentioning
confidence: 99%
“…The fusion process is divided into several stages.In the first stage ,the source images are decomposed by NSCT, then we obtain the coefficient matrice of all directional subbands at each of high frequency levels. Here, each of coefficient matrice represents its directional information.Considering the source images may Zhang Pai, IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS include lots of details, the coefficient matrice in the NSCT domain also embody complex directions and textures information [11][12]. In order to highlight salient features of each directional subband,OCBT is employed to decompose all the directional subbands at each high frequency level in NSCT domain.Then the obtained coefficient matrice here can fully represent the feature information of all possible directions, frequencies, and locations.…”
Section: Introductionmentioning
confidence: 99%