Fragile Watermark in Medical Image Based on Prime Number Distribution Theory

Author(s):  
Xiuyuan Wei ◽  
Wenyin Zhang ◽  
Bo Yang ◽  
Jiuru Wang ◽  
Ziyun Xia
2013 ◽  
Vol 27 (12) ◽  
pp. 7379-7388 ◽  
Author(s):  
Sheng Zheng ◽  
Fan Zhang ◽  
Zhenyu Huang ◽  
H. Scott Fogler

2014 ◽  
Vol 05 (16) ◽  
pp. 2547-2557
Author(s):  
Maurice H. P. M. van Putten

2019 ◽  
Vol 38 ◽  
pp. 85-87
Author(s):  
Bijoy Rahman Arif

In this paper, we are going to prove a famous problem concerning the prime numbers called Bertrand's postulate. It states that there is always at least one prime, p between n and 2n, means, there exists n < p < 2n where n > 1. It is not a newer theorem to be proven. It was first conjectured by Joseph Bertrand in 1845. He did not find a proof of this problem but made important numerical evidence for the large values of n. Eventually, it was successfully proven by Pafnuty Chebyshev in 1852. That is why it is also called Bertrand-Chebyshev theorem. Though it does not give very strong idea about the prime distribution like Prime Number Theorem (PNT) does, the beauty of Bertrand's postulate lies on its simple yet elegant definition. Historically, Bertrand's postulate is also very important. After Euclid's proof that there are infinite prime numbers, there was no significant development in the prime number distribution. Peter Dirichlet stated the standard form of Prime Number Theorem (PNT) in 1838 but it was merely a conjecture that time and beyond the scope of proof to the then mathematicians. Bertrand's postulate was a simply stated problem but powerful enough, easy to prove and could lead many more strong assumptions about the prime number distribution. Illustrious Indian mathematician, Srinivasa Ramanujan gave a shorter but elegant proof using the concept of Chebyshev functions of prime, υ(x), Ψ(x)and Gamma function, Γ(x) in 1919 which led to the concept of Ramanujan Prime. Later Paul Erdős published another proof using the concept of Primorial function, p# in 1932. The elegance of our proof lies on not using Gamma function yet finding the better approximations of Chebyshev functions of prime. The proof technique is very similar the way Ramanujan proved it but instead of using the Stirling's approximation to the binomial coefficients, we are proving similar results using well-known proving technique the mathematical induction and they lead to somewhat stronger than Ramanujan's approximation of Chebyshev functions of prime. GANIT J. Bangladesh Math. Soc.Vol. 38 (2018) 85-87


Author(s):  
Wen Chen ◽  
Yingjie Liang ◽  
Shuai Hu ◽  
Hongguang Sun

AbstractThis study suggests that the power law decay of prime number distribution can be considered a sub-diffusion process, one of typical anomalous diffusions, and could be described by the fractional derivative equation model, whose solution is the statistical density function of Mittag-Leffler distribution. It is observed that the Mittag-Leffler distribution of the fractional derivative diffusion equation agrees well with the prime number distribution and performs far better than the prime number theory. Compared with the Riemann’s method, the fractional diffusion model is less accurate but has clear physical significance and appears more stable. We also find that the Shannon entropies of the Riemann’s description and the fractional diffusion models are both very close to the original entropy of prime numbers. The proposed model appears an attractive physical description of the power law decay of prime number distribution and opens a new methodology in this field.


2021 ◽  
pp. 1-6
Author(s):  
Ameha Tefera Tessema

The application of prime numbers in modern science, especially in computer science, is very wide. Since prime numbers can only divisible by 1 and themselves, they are not factored any further like whole numbers. The problem to calculate all prime numbers using a formula posed for long periods. Though different formulas to calculate prime numbers were developed by Euler, Fermat, Mersenne and others, the formulas work for limited natural numbers and calculate limited prime numbers. JEL classification numbers: C02, C63, C69 Keywords: Prime numbers, Prime numbers formula, Prime number distribution, Prime number calculation.


Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.


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