TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 12, No 4: December 2014

Multi Facial Blurring using Improved Henon Map

Saparudin Saparudin (Sriwijaya University)
Ghazali Sulong (Universiti Teknologi Malaysia)
Muhammed Ahmed Saleh (Universiti Teknologi Malaysia)



Article Info

Publish Date
01 Dec 2014

Abstract

Generally, full encryption is applied on the entire image to obscure the faces. However, it suffers in overhead, speed and time. Alternatively, selective encryption can be used to encrypt only the sensitive part of the image such as human faces. This paper proposes a new encryption algorithm using enhanced Henon chaotic map to conceal the faces. This technique involves three steps: face detection, encryption and decryption. Experiments have been performed to evaluate security such as histogram, sensitivity and statistical analysis, and results reveal that the proposed method provides high security with entropy and correlation close to ideal values.

Copyrights © 2014






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...