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Adaptive regularization for multiple image restoration using an extended total variations approach

Conference Paper


Abstract


  • In this paper a Variational Inequality method for multiple in- put, multiple output image restoration is presented using an extended Total Variations (TV) regularizer. This approach calculates an adaptive regularization parameter for each image based on their respective degradations. The proposed ex- tended Total Variations regularizer combines both intra-image and inter-image pixel information for improved restoration performance. Hyperparameters for controlling this new TV measure are calculated using a Bayesian joint maximum a posteriori approach.

Publication Date


  • 2011

Citation


  • Kitchener, M. Andrew., Bouzerdoum, A. & Phung, S. (2011). Adaptive regularization for multiple image restoration using an extended total variations approach. 2011 18th IEEE International Conference on Image Processing, ICIP 2011 (pp. 697-700). USA: IEEE.

Scopus Eid


  • 2-s2.0-84856282541

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1774

Start Page


  • 697

End Page


  • 700

Place Of Publication


  • http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116648

Abstract


  • In this paper a Variational Inequality method for multiple in- put, multiple output image restoration is presented using an extended Total Variations (TV) regularizer. This approach calculates an adaptive regularization parameter for each image based on their respective degradations. The proposed ex- tended Total Variations regularizer combines both intra-image and inter-image pixel information for improved restoration performance. Hyperparameters for controlling this new TV measure are calculated using a Bayesian joint maximum a posteriori approach.

Publication Date


  • 2011

Citation


  • Kitchener, M. Andrew., Bouzerdoum, A. & Phung, S. (2011). Adaptive regularization for multiple image restoration using an extended total variations approach. 2011 18th IEEE International Conference on Image Processing, ICIP 2011 (pp. 697-700). USA: IEEE.

Scopus Eid


  • 2-s2.0-84856282541

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/1774

Start Page


  • 697

End Page


  • 700

Place Of Publication


  • http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6116648