Hybrid Predictor Based Four-Phase Adaptive Reversible Watermarking

Reversible watermarking has gained importance due to increased involvement of digital media in sensitive fields, such as medical and law enforcement. We propose a prediction error expansion-based watermarking scheme that allows embedding reversible watermark in the image with low distortion. Researc...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE access Ročník 6; s. 13213 - 13230
Hlavní autoři: Ishtiaq, Muhammad, Ali, Waqar, Shahzad, Waseem, Jaffar, Muhammad Arfan, Nam, Yunyoung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptive watermarking
Context
Digital media
Distortion
Distortion measurement
Embedding
error-expansion
Histograms
Image coding
Image enhancement
Payloads
prediction
reversible watermarking
Sorting
Watermarking
ISSN:2169-3536, 2169-3536
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Reversible watermarking has gained importance due to increased involvement of digital media in sensitive fields, such as medical and law enforcement. We propose a prediction error expansion-based watermarking scheme that allows embedding reversible watermark in the image with low distortion. Research work proposes four-phase representation of image which allows exploitation of larger prediction context. We have also proposed a hybrid predictor that helps enhance the prediction accuracy. To reduce image distortion at lower capacity payloads, we use sorting of estimated prediction errors through sorting of prediction context variances. For improvement at higher capacity payloads, adaptive embedding is used to determine whether to embed single or two bits in a given prediction error. The results are compared against some state-of-the-art techniques in the field and show promising results.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2803301