A novel pixel's fractional mean-based image enhancement algorithm for better image splicing detection
Image manipulation has become widely accessible to the masses over the past years due to the sophisticated image editing tools which are readily-available and easy to use. As a result, image forgery has increased such that it has become infeasible to discriminate authentic from tampered images with...
Saved in:
Main Authors: | Jalab, Hamid A., Alqarni, Mohammed A., Ibrahim, Rabha W., Almazroi, Abdulwahab Ali |
---|---|
Format: | Article |
Published: |
Elsevier
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/33414/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
New texture descriptor based on modified fractional entropy for digital image splicing forgery detection
by: Hamid, A. Jalab, et al.
Published: (2019) -
New Texture Descriptor Based on Modified Fractional Entropy for Digital Image Splicing Forgery Detection
by: Jalab, Hamid Abdullah, et al.
Published: (2019) -
Image splicing detection based on texture features with fractal entropy
by: Al-Azawi, Razi J., et al.
Published: (2021) -
A new medical image enhancement algorithm based on fractional calculus
by: Jalab, Hamid A., et al.
Published: (2021) -
Image splicing detection scheme using adaptive threshold mean ternary pattern descriptor
by: Abrahim, Araz Rajab
Published: (2019)