Chaos theory based cryptography in digital image distribution

2010 ◽  
Author(s):  
Mohan Harshana Perera Ranmuthugala ◽  
Chandana Gamage
Keyword(s):  
Digital Image ◽  
Chaos Theory ◽  
Image Distribution

Research on General Permutation Encryption Module Based on Chaos Theory

2014 ◽  
Vol 686 ◽  
pp. 381-387
Author(s):  
Wen Jie Sun
Keyword(s):  
Image Encryption ◽  
Digital Image ◽  
Chaos Theory ◽  
High Efficiency ◽  
Encryption Algorithm ◽  
Special Role ◽  
Image Information ◽  
Original Order ◽  
Digital Image Encryption ◽  
Intentional Attack

Replacement and substitution encryption are two basic types of encryption historically. The classical encryption algorithm has been compromised now, but they still can play special role for modern cryptology. For example, in digital image encryption system, substitution can disrupt the original order of the images and eliminate the correlation of image information which not only can realize security of images, but also can resist intentional attack and destruction of clipping and noise. And transposition transformation is introduced into the design of block ciphers. The substitution has the feature of high efficiency and resistance, which makes it meet the specific requirements of encryption. So substitution cypher can be applied to modern encryption system.

Research on Image Vectorization Based on Improved Chaos Immune Genetic Algorithm

2014 ◽  
Vol 543-547 ◽  
pp. 2619-2622
Author(s):  
Shao Song Wan ◽  
Jian Cao ◽  
Cong Yan
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Chaos Theory ◽  
Initial Value ◽  
Immune Genetic Algorithm ◽  
Processing Data ◽  
Image Vectorization ◽  
Chaos Sequence

Image vectorization plays an important role in the digital image processing. Because the traditional linear vectorization methods have some shortcomings including processing data slowly, being sensitive to noises and being easy to be distorted, this paper proposes an image vectorization method based on mathematical morphology. In the paper we present an improving immune genetic algorithm based on chaos theory. The over-spread character and randomness of chaos can be used to initialize population and improve the searching speed, and the initial value sensitivity of chaos can be used to enlarge the searching space. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence.

scholarly journals Digital Image Distribution

1999 ◽  
Vol 5 (10) ◽  
Author(s):  
Howard Besser
Keyword(s):  
Digital Image ◽  
Image Distribution

Network access to visual information: a study of costs and uses

2000 ◽  
Vol 25 (2) ◽  
pp. 5-9
Author(s):  
Howard Besser
Keyword(s):  
Digital Image ◽  
Visual Information ◽  
Large Scale ◽  
Network Access ◽  
Image Distribution ◽  
Educational Site ◽  
Digital Delivery

This paper summarizes a subset of the findings of a study of digital image distribution which focused on the Museum Educational Site Licensing Project (MESL) - the first large-scale multi-institutional project to explore digital delivery of art images and accompanying text/metadata from disparate sources. This Mellon Foundation sponsored study evaluated the costs, infrastructure, and efforts involved in implementing the MESL project, as well as user reaction to functionality. The study also examined costs of running analog slide libraries and compared these to costs and functionality associated with digital image distribution.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

A method to measure pores and fissures in geologic materials under S.E.M. by digital image processing

1978 ◽  
Vol 36 (1) ◽  
pp. 212-213
Author(s):  
L. Montoto ◽  
M. Montoto ◽  
A. Bel-Lan
Keyword(s):  
Image Processing ◽  
Optical Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
Digital Processing ◽  
Free Surfaces ◽  
Geologic Materials ◽  
Automatic Information ◽  
Detector Output ◽  
Rock Specimens

INTRODUCTION.- The physical properties of rock masses are greatly influenced by their internal discontinuities, like pores and fissures. So, these need to be measured as a basis for interpretation. To avoid the basic difficulties of measurement under optical microscopy and analogic image systems, the authors use S.E.M. and multiband digital image processing. In S.E.M., analog signal processing has been used to further image enhancement (1), but automatic information extraction can be achieved by simple digital processing of S.E.M. images (2). The use of multiband image would overcome difficulties such as artifacts introduced by the relative positions of sample and detector or the typicals encountered in optical microscopy.DIGITAL IMAGE PROCESSING.- The studied rock specimens were in the form of flat deformation-free surfaces observed under a Phillips SEM model 500. The SEM detector output signal was recorded in picture form in b&w negatives and digitized using a Perkin Elmer 1010 MP flat microdensitometer.

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