A New Approach for Copy-Move Detection Based on Improved Weber Local Descriptor
Shabnam Saadat1, Mohsen Ebrahimi Moghaddam1, Mohsen Mohammadi1
1Departmant of Electrical and Computer Engineering, Shahid Beheshti University, G.C, Evin, Zip Code 1983963113, Tehran, Iran.
Journal of Forensic Sciences
|August 8, 2015
Summary
This study introduces a novel method for detecting copy-move image forgery. The technique robustly identifies even small tampered areas, overcoming limitations of existing methods against transformations.
Area of Science:
- Digital Image Forensics
- Computer Vision
- Image Processing
Background:
- Copy-move forgery is a prevalent image tampering technique.
- Existing detection methods often lack robustness against geometric transformations and struggle with small copied regions.
Purpose of the Study:
- To develop a robust and effective method for detecting copy-move image forgery.
- To address the limitations of current techniques in handling geometric transformations and small tampered areas.
Main Methods:
- A novel approach utilizing point descriptors derived from the integration of textural feature-based Weber law and statistical image features.
- Implementation of a modified multiscale Weber local descriptor (WLD) for enhanced robustness.
Main Results:
- The proposed method successfully detects small copied areas within images.
- The technique demonstrates robustness against various image manipulations including rotation, scaling, noise, compression, blurring, and mirroring.
Conclusions:
- The developed method offers a significant improvement in copy-move forgery detection.
- The modified multiscale WLD approach provides a robust solution for identifying tampered images with geometric transformations and small duplicated regions.
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