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Recent advances in digital image manipulation detection techniques: A brief review.
Rahul Thakur1, Rajesh Rohilla1
1ECE Department, Delhi Technological University, Delhi 110042, India.
Forensic Science International
|May 31, 2020
Summary
Digital image tampering is a growing concern, with manipulated photos used for misinformation and fraud. This study reviews recent deep learning methods for detecting and localizing image forgeries, crucial for maintaining digital integrity.
Area of Science:
- Computer Science
- Digital Forensics
- Artificial Intelligence
Background:
- The proliferation of digital images and advanced editing tools enables widespread image manipulation.
- Tampered images pose risks, including public deception, reputational damage, political influence, and compromised investigations.
- Traditional detection methods struggle with complex, multi-stage image forgeries and post-processing obfuscation.
Purpose of the Study:
- To comprehensively review and analyze recent techniques for digital image manipulation detection and localization.
- To examine various image forgery types and their corresponding detection methodologies.
- To highlight the increasing reliance on deep learning approaches in this field.
Main Methods:
- Review of existing literature on image manipulation detection techniques.
- Categorization of common image forgery operations.
- Examination of deep learning-based methods for detecting and localizing tampered image regions.
Main Results:
- Digital image tampering is increasingly sophisticated, often involving multiple operations and post-processing.
- Deep learning methods show significant promise in detecting and localizing complex image forgeries.
- A gap exists in robust detection of advanced, multi-operation tampering.
Conclusions:
- Accurate detection and localization of tampered images are critical in the digital age.
- Deep learning offers powerful tools for combating sophisticated image manipulation.
- Further research is needed to address the challenges posed by advanced forgery techniques.
