An adaptive reconstruction method involving discontinuities

Authors:
P. Charbonnier;L. Blanc-Féraud;M. Barlaud
Affiliations:
Université de NICE-SOPHIA ANTIPOLIS, Valbonne, France;Université de NICE-SOPHIA ANTIPOLIS, Valbonne, France;Université de NICE-SOPHIA ANTIPOLIS, Valbonne, France
Venue:
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Year:
1993

Citing 3
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Abstract

In this paper, we present a new deterministic reconstruction method preserving discontinuities. This method is based on a Markov Random Field image model, coupled with a line-process. This type of model is now widely used in image processing. Unfortunately, their use leads to the minimization of non-convex criteria. The reconstruction method uses a deterministic and adaptive relaxation algorithm. This algorithm is presented in the case of Single Photon Emission Computed Tomography (SPECT) reconstruction, but can also be applied to a large class of inverse problems in image processing.