Open AccessUtilizing Statistical Models for Proposing Hybrid Noise Approach of Image Encryption
Author(s) -
Irtefaa A. Neamah,
Hind Rustum Mohammed
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i3.19.16981
Subject(s) - gaussian noise , noise (video) , salt and pepper noise , hybrid image , computer science , image noise , value noise , image (mathematics) , speckle noise , encryption , standard deviation , algorithm , pattern recognition (psychology) , artificial intelligence , mathematics , statistics , median filter , image processing , operating system
A proposed strategy for an encryption of image based on image noise by statistical models is represented in this paper. An image encryption algorithm has been designed and simulated for some of the common various types of image noise. The proposed method (Hybrid Noise) consisting of a composition of more than one of probability density functions.Further, the hybrid approach has been compared with some standard noise types such as Gaussian, salt, and pepper, and speckle noise based on some of the performance scales like Peak Signal to Noise Ratio, variance and standard deviation and other comparison tools. The results show that our hybrid method has more security of image with less Peak Signal to Noise Ratio values, which means high noise level.