Image recovery of geometric distortion with multi-bit data embedding

Image transmission is sometimes accompanied with geometric distortions. A novel image recovery scheme with multi-bit binary message is proposed in this paper. In the proposed scheme, several predefined templates are introduced to an image in the discrete wavelet transform domain. A blind template de...

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Bibliographic Details
Main Authors: Ming-Sui Lee, Yu-Hsiang Chiu
Format: Conference Proceeding
Language:English
Subjects:
Bayesian methods
Bit error rate
blind detection
data embedding
Data mining
Discrete wavelet transforms
geometric distortion correction
Image recovery
Joints
Robustness
Watermarking
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Description
Summary:Image transmission is sometimes accompanied with geometric distortions. A novel image recovery scheme with multi-bit binary message is proposed in this paper. In the proposed scheme, several predefined templates are introduced to an image in the discrete wavelet transform domain. A blind template detection algorithm is performed on the geometrically distorted image to extract locations of the templates and the hidden message, which are modeled probabilistically in a Bayesian network. Once the locations of the templates are successfully detected, they serve as the registration references in the recovering process. As a result, the image attacked by geometric distortions can be recovered according to the estimated displacements. The goal of this project is to develop a scheme to correct various geometric distortions with relatively lower bit error rate.
ISSN:1945-7871
1945-788X
DOI:10.1109/ICME.2010.5583531