Detection of Copy-Move Image Forgery Using Local Binary Pattern from Detailed Wavelet Coefficient
Daljeet Kaur,
Ajay Lala,
Kamaljeet Singh Kalsi
Abstract:One of the most prevalent types of image forgery is copy-move forgery. A portion of the image is being copied and further pasted to a different location inside the identical image during the copy-move approach in order to hide a significant portion of the image. Finding duplicate portions in the image is the purpose of the copy-move based forgery detection technique. In this paper, we suggest a system which tends to detects forged portion in a forgery image. The DILBP (Detailed image local binary pattern) appr… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.