Digital image forgery detection based on shadow texture features
| Autor: | Marko Beko, Eva Tuba, Ira Tuba |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
021110 strategic
defence & security studies business.industry Computer science Local binary patterns Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Image processing 02 engineering and technology Digital image Software Discriminative model Histogram Shadow 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business |
| Zdroj: | 2016 24th Telecommunications Forum (TELFOR). |
| DOI: | 10.1109/telfor.2016.7818875 |
| Popis: | Digital images are widely used nowadays and there are powerful and convenient software tools for various types of image processing and enhancement. Unfortunately, these tools also facilitate for easy digital image forgery. In this paper we present an algorithm for digital image forgery detection that deals with the situation when some object, together with its shadow, is copied and pasted to some other location in the same or different image. Algorithm is based on the property that shadows do not change the texture of the underlaying surface. Our algorithms uses local binary patterns from shadow and adjacent non-shadow regions and features extracted from their histograms where energy and entropy proved to be the most discriminative. The proposed method was tested on some benchmark forged images and compared with other approaches from literature where it proved to be successful in detection of this type of forgery. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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