Copy Move Image Forgery Detection
Light Invariant Techniques
(Sprache: Englisch)
Image Forgery is a very common problem faced in the multimedia world. People used to tamper the original images either to hide facts or to change the interpretation of the scene. There are many instances in history to support the statement. The toughest...
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Image Forgery is a very common problem faced in the multimedia world. People used to tamper the original images either to hide facts or to change the interpretation of the scene. There are many instances in history to support the statement. The toughest type of forgery detection is blind forgery detection. There is no clue available about the camera, author or location to corroborate the facts presented by the picture. Copy move forgery is one of the widely used forgeries in digital images. The people doing forgery make the task of forgery detection more difficult by using some post-processing operations like scaling rotation compression or changing lightning conditions like brightness, contrast, etc. The book presents a set of techniques to detect a forgery in the presence of post-processing operation of change of lighting conditions. The techniques use DCT, PCA transforms and their combinations to make the feature vectors robust to lightning conditions and time-efficient. The techniques have been presented in a way to help new researchers looking to work in the area. A thorough analysis has been done using popular image data sets.
Autoren-Porträt von Sunil Kumar, J. V. Desai
Kumar, SunilDr. Sunil Kumar is currently working as Associate Professor at the School of Computing and IT, Manipal University Jaipur. He has academic experience of 17 years. He is currently guiding 4 Ph.D. scholars. His research interests include Image forensic, Machine learning and Computer vision.
Bibliographische Angaben
- Autoren: Sunil Kumar , J. V. Desai
- 2020, 68 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200786828
- ISBN-13: 9786200786821
Sprache:
Englisch
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