English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

With the rapid development and popularization of Photoshop, ACDSee and other digital processing and editing software, the non-professionals can easily modify the image to achieve the purpose of beautification, spoof or malicious tampering. Digital tampering usually has ulterior motives, which would bring crisis of confidence to the credibility of media image, the authenticity of judicial evidence and the reliability of military intelligence. The Copy-move forgery is one of the most common and immediate tampering attacks, and is one type of image forgery where one region of an image is copied to another region in an attempt to cover some potentially important features. In this paper, an efficient algorithm is presented for image copy-move forgery detection and localization based on DWT and SVD. Experiment results demonstrate that our proposed algorithm can effectively detect multiple copy-move forgery and precisely locate the duplicated regions, even when an image was distorted by Gaussian blurring, JPEG compression and their mixed operations.

An efficient algorithm for image copy-move forgery detection based on DWT and SVD