A DCT-SVD Domain Watermarking for Color Digital Image Based on Compressed Sensing Theory and Chaos Theory

2014 ◽  
Author(s):  
Mengmen Li ◽  
Chao Han
Keyword(s):  
Compressed Sensing ◽  
Digital Image ◽  
Chaos Theory

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.

A Robustness Watermarking Achievement Algorithm with Block Compressed Sensing Theory

2014 ◽  
Vol 513-517 ◽  
pp. 1445-1452
Author(s):  
Hui Min Zhao ◽  
Xiao Ling Chen
Keyword(s):  
Compressed Sensing ◽  
Digital Image ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Experimental Results ◽  
Fingerprint Image ◽  
Host Image ◽  
Block Compressed Sensing

In order to take into account the tradeoff relation between the watermark quality and the watermark robustness in digital image copyright protection, a novel generation method of image watermarking is proposed with block compressed sensing in DWT domain. The watermark data are formed by utilizing measurement values of blocking compressed sensing to fingerprint image, and are embedded into all sub-blocks of theLLn sub-band of the transformed host image.Experimental results show that the introduction of compressed sensing theory improves the robustness for resisting attacks and recovery quality of the fingerprint image watermarking.

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.

Digital image processing methods applied to the study of annealing time on semiconductor-metal eutectic composites

1988 ◽  
Vol 46 ◽  
pp. 848-849
Author(s):  
J. Hefter
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Electronic Device ◽  
Processing System ◽  
Average Diameter ◽  
Eutectic Solidification ◽  
Metal Silicide ◽  
The Matrix ◽  
Microscopic Studies

Semiconductor-metal composites, formed by the eutectic solidification of silicon and a metal silicide have been under investigation for some time for a number of electronic device applications. This composite system is comprised of a silicon matrix containing extended metal-silicide rod-shaped structures aligned in parallel throughout the material. The average diameter of such a rod in a typical system is about 1 μm. Thus, characterization of the rod morphology by electron microscope methods is necessitated.The types of morphometric information that may be obtained from such microscopic studies coupled with image processing are (i) the area fraction of rods in the matrix, (ii) the average rod diameter, (iii) an average circularity (roundness), and (iv) the number density (Nd;rods/cm2). To acquire electron images of these materials, a digital image processing system (Tracor Northern 5500/5600) attached to a JEOL JXA-840 analytical SEM has been used.

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