cover
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Advances in Intelligent Informatics
ISSN : 24426571     EISSN : 25483161     DOI : 10.26555
Core Subject : Science,
International journal of advances in intelligent informatics (IJAIN) e-ISSN: 2442-6571 is a peer reviewed open-access journal published three times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available on line (free access), and no publication fee for authors.
Arjuna Subject : -
Articles 1 Documents
Search results for , issue "Vol 7, No 2 (2021): July 2021 (Issue in Progess)" : 1 Documents clear
Performing image confusion and diffusion using two dimensional triangle functional chaotic maps Prasetyo, Heri; Rosiyadi, Didi; Horng, Shi Jinn; Setiawan, Iwan; Basuki, Akbari Indra
International Journal of Advances in Intelligent Informatics Vol 7, No 2 (2021): July 2021 (Issue in Progess)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Currently, with a malicious attacker against the authorization of an image it is necessary to have a method to secure the content of the image. Therefore this paper presents a new technique for performing image confusion and diffusion using Two Dimensional Triangle Fractional Combination Discrete Chaotic Map (2D-TFCDM). The image confusion requires a set of 2D-TFCDM chaotic random numbers to relocate the pixel locations of plain or secret images. At the same time, image diffusion utilizes the chaotic numbers to modify the pixel values of confused image. The proposed method performs well in terms of visual investigation and objective quality assessment on the confused and diffused images. In addition, it offers a promising result for the grayscale and color image with simple computation, which the experiment results demonstrate that the proposed method outperforms other existing methods under several types of visual observation, correlation coefficients, entropy, UACI, NPCR.

Page 1 of 1 | Total Record : 1