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Summary: REDUNDANT IMAGE REPRESENTATION VIA MULTI-SCALE DIGITAL RADON
PROJECTIONS
A. Kingston
, B. Parrein
, and F. Autrusseau
IRCCyNIVC, Ecole polytechnique de l'Universit´e de Nantes,
rue Christain Pauc, La Chantrerie, 44306 Nantes Cedex 3, FRANCE.
Department of Applied Mathemathics, RSPhySE,
The Australian National University, Canberra ACT 0200, AUS.
ABSTRACT
A novel ordering of digital Radon projections co-efficients
is presented here that enables progressive image reconstruc-
tion 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 natu-
ral way to generate redundancy to any specified degree and
has been demonstrated to be useful for redundant representa-
tion 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
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