Binary image transformation using two-dimensional chaotic maps

2004 ◽  
Author(s):  
F. Belkhouche ◽  
U. Qidwai ◽  
I. Gokcen ◽  
D. Joachim
Keyword(s):  
Chaotic Maps ◽  
Binary Image ◽  
Two Dimensional ◽  
Image Transformation

FAILURE OF A MEAN-FIELD APPROACH FOR THE MILLER–HUSE PHASE TRANSITION

2000 ◽  
Vol 10 (01) ◽  
pp. 251-256 ◽  
Author(s):  
FRANCISCO SASTRE ◽  
GABRIEL PÉREZ
Keyword(s):  
Phase Transition ◽  
Ising Model ◽  
Chaotic Maps ◽  
Initial Conditions ◽  
Mean Field ◽  
Region Of Interest ◽  
Universality Class ◽  
Two Dimensional ◽  
Field Approach

The diffusively coupled lattice of odd-symmetric chaotic maps introduced by Miller and Huse undergoes a continuous ordering phase transition, belonging to a universality class close but not identical to that of the two-dimensional Ising model. Here we consider a natural mean-field approach for this model, and find that it does not have a well-defined phase transition. We show how this is due to the coexistence of two attractors in its mean-field description, for the region of interest in the coupling. The behavior of the model in this limit then becomes dependent on initial conditions, as can be seen in direct simulations.

THE DYNAMICS AND STATISTICS OF BIVARIATE CHAOTIC MAPS IN COMMUNICATIONS MODELING

2004 ◽  
Vol 14 (04) ◽  
pp. 1177-1194 ◽  
Author(s):  
RACHEL M. HILLIAM ◽  
ANTHONY J. LAWRANCE
Keyword(s):  
Chaotic Maps ◽  
Two Dimensional ◽  
Arnold Cat Map ◽  
Chebyshev Map ◽  
Shift Keying ◽  
Dynamical Properties ◽  
Chaos Shift Keying

Statistical and dynamical properties of bivariate (two-dimensional) maps are less understood than their univariate counterparts. This paper gives a synthesis of extended results with exemplifications by bivariate logistic maps, the bivariate Arnold cat map and a bivariate Chebyshev map. The use of synchronization from bivariate maps in communication modeling is exemplified by an embryonic chaos shift keying system.

scholarly journals Cryptography Using Multiple Two-Dimensional Chaotic Maps

2012 ◽  
Vol 4 (8) ◽  
pp. 1-7 ◽  
Author(s):  
Ibrahim S. I. Abuhaiba ◽  
Amina Y. AlSallut ◽  
Hana H. Hejazi ◽  
Heba A. AbuGhali
Keyword(s):  
Chaotic Maps ◽  
Two Dimensional

scholarly journals Review And Analysis Of Computer Vision Algorithms

2021 ◽  
Vol 03 (05) ◽  
pp. 245-250
Author(s):  
Bakhtiyar Saidovich Rakhimov ◽  
◽  
Feroza Bakhtiyarovna Rakhimova ◽  
Sabokhat Kabulovna Sobirova ◽  
Furkat Odilbekovich Kuryazov ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Analysis ◽  
Noise Suppression ◽  
Color Correction ◽  
Scientific Discipline ◽  
Specific Information ◽  
Two Dimensional ◽  
Image Transformation ◽  
Almost All

Computer vision as a scientific discipline refers to the theories and technologies for creating artificial systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical fields like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific information from the processed image. This information may include searching for objects, keypoints, segments, and annexes;

A Video Watermark Method Based on Chaotic Encryption

2010 ◽  
Vol 44-47 ◽  
pp. 3383-3387
Author(s):  
Li Sen Peng ◽  
Yong Qiang Chen ◽  
Han Ping Hu
Keyword(s):  
Binary Image ◽  
Experimental Results ◽  
Chaotic Encryption ◽  
Two Dimensional ◽  
Watermark Scheme ◽  
Video Frames ◽  
Video Watermark ◽  
Watermark Embedding ◽  
Watermark Method ◽  
Dct Coefficients

An effective and integrated video watermark scheme mainly includes watermark generation, watermark embedding, watermark detecting, and watermark attack. The watermark data come from a meaningful binary image encrypted by two-dimensional chaotic stream encryption to improve watermark security. In the procedure of watermark embedding, watermarks are embedded into the random selected video frames through modifying the DCT coefficients. After robust and frame processes, watermarks can be mainly extracted and identified through watermark extracting algorithm. The experimental results show that the proposed video watermark method has some performances of security, imperceptibility and robustness.

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