Conference proceeding
Blind forensics of contrast enhancement in digital images
2008 15th IEEE International Conference on Image Processing, pp 3112-3115
Oct 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Digital images have seen increased use in applications where their authenticity is of prime importance. This proves to be problematic due to the widespread availability of digital image editing software. As a result, there is a need for the development of reliable techniques for verifying an image's authenticity. In this paper, a blind forensic algorithm is proposed for detecting the use of global contrast enhancement operations to modify digital images. Furthermore, a separate algorithm is proposed to identify the use of histogram equalization, a commonly implemented contrast enhancement operation. Both algorithms perform detection by seeking out unique artifacts introduced into an image's histogram as a result of the particular operation examined. Additionally, results are presented showing the effectiveness of both proposed algorithms.
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Details
- Title
- Blind forensics of contrast enhancement in digital images
- Creators
- Matthew Stamm - University of Maryland, College ParkK. J. R Liu - University of Maryland, College ParkIEEE
- Publication Details
- 2008 15th IEEE International Conference on Image Processing, pp 3112-3115
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000265921401295
- Scopus ID
- 2-s2.0-69949189564
- Other Identifier
- 991019295016104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic
- Imaging Science & Photographic Technology