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Redundant image representation via multi-scale digital radon projections

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Authors

Kingston, Andrew
Parrein, Benoit
Autrusseau, Florent

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Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

A novel ordering of digital Radon projections coefficients is presented here that enables progressive image reconstruction from low resolution to full resolution. The digital Radon transform applied here is the Mojette transform first defined by Guedon et al. in [1]. The Mojette transform is a natural way to generate redundancy to any specified degree and has been demonstrated to be useful for redundant representation for robust data storage and transmission. Combining this with the wavelet transform facilitates compression, i.e., joint source-channel coding, along with the additional property of scalability.

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2008 IEEE International Conference on Image Processing Proceedings

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Restricted until

2037-12-31