Image tamper detection and self-recovery using multiple median watermarking

Photographs play a very crucial role in our lives, be it in the field of forensic investigation, military intelligence, scientific research, and publications. Nowadays, most of these photographs are in the digital format; which can be easily edited in any photo editing software without requiring any...

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Vydáno v:Multimedia tools and applications Ročník 79; číslo 47-48; s. 35519 - 35535
Hlavní autoři: Rajput, Vishal, Ansari, Irshad Ahmad
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.12.2020
Springer Nature B.V
Témata:
Algorithms
Computer Communication Networks
Computer Science
Counterfeiting
Data Structures and Information Theory
Digital signatures
Digital watermarks
Error correction & detection
Forgery
Image detection
Image filters
Localization
Multimedia
Multimedia Information Systems
Pseudorandom
Recovery
Scientific papers
Sharpening
Software
Special Purpose and Application-Based Systems
Watermarking
Image security
Image watermarking
Self-recovery
Tamper detection
Median watermarking
ISSN:1380-7501, 1573-7721
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Shrnutí:Photographs play a very crucial role in our lives, be it in the field of forensic investigation, military intelligence, scientific research, and publications. Nowadays, most of these photographs are in the digital format; which can be easily edited in any photo editing software without requiring any special knowledge of the field. It has become quite hard to identify whether an image is real or fake. This can be very crucial in the cases of forensic investigation or authorization of images. So, we need a solution, which not only identifies the attacks from different schemes like collage attack, crop attack, etc. but also recovers the edited or tampered portion. In proposed work, 4 reduced-size copy of the original image is hidden in the original image’s 4-LSB using four pseudo-random codes. Later on, these copies are used for tamper detection. As image gets tampered, recovery images (which are stored in the 4-LSB’s of the original image) also get tampered. So, before recovering the edited portion using the median image (or one out of the four recovery images) various filters like median filters, sharpening filters, and noise removal filters are used to enhance the quality. The proposed scheme recovers the host better than the many recently proposed schemes.
Bibliografie:ObjectType-Article-1
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-019-07971-w