Perceptual Mapping-Based Image Tamper Detection and Recovery Algorithm release_4qzzv2loirb6xbyzrjhfygj7n4

by Taha Taha, Ruzelita Ngadiran, Dujan B. Taha

Published in Advances in Multimedia by Hindawi Limited.

2022   Volume 2022, p1-12

Abstract

The importance of digital image authentication has grown in the last decade particularly with the widespread availability of digital media and image manipulation tools. As a result, different techniques were developed to detect fraudulent alterations in digital images and restore the original data. In this paper, a new algorithm is proposed to authenticate images by hiding a copy of the approximation band in the original image. The approximation band is hidden by embedding it inside the image pixels. The intensity of the hiding was decided using a perceptual map that simulates the human vision system and adds more intensity in areas where the human eye cannot recognize changes. The perceptual map consists of three parts, luminance mask, texture mask, and edge detection mask. Results show a high ability to blindly recover images after different attacks such as removing and blocking attacks. At the same time, the structure similarity index of resultant images was higher than 0.99 for all tested images.
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Date   2022-05-05
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