Abstract
In image processing, mixed noise elimination from the image is a difficult task since the noise distribution usually does not have a parametric model. The Additive White Gaussian Noise (AWGN) together with impulse noise (IN) is one typical example of mixed noise. Most of the noise removal methods detect the locations of impulse noise pixels and then removes mixed noise. The presence of strong mixed noise leads to unwanted artifacts and to solve this issue a weighted encoding with sparse nonlocal regularization (WESNR) method is available and it removes mixed noise by soft impulse detection through weighted encoding. In this work, WESNR is used to eliminate mixed noise. Reversible Data Hiding (RDH) technique is used to encrypt denoised image and hides data for the purpose of secure communication. Experimental results showed that the proposed method can attain real reversibility after data extraction without affecting image quality.
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Mohanakrishnan, P., Suthendran, K., Arumugam, S., Panneerselvam, T. (2017). Mixed Noise Elimination and Data Hiding for Secure Data Transmission. In: Arumugam, S., Bagga, J., Beineke, L., Panda, B. (eds) Theoretical Computer Science and Discrete Mathematics. ICTCSDM 2016. Lecture Notes in Computer Science(), vol 10398. Springer, Cham. https://doi.org/10.1007/978-3-319-64419-6_21
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DOI: https://doi.org/10.1007/978-3-319-64419-6_21
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