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Persistent URL http://purl.org/net/epubs/work/12317845
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Record Id 12317845
Title Direct edge-preserving regularization in tomographic image reconstruction
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Abstract In this paper, we present a novel regularization technique for iterative tomographic reconstruction. The proposed penalty is built on the edge-preserving Laplacian and encourages piecewise-smooth solutions with sharp edges. Our penalty outperforms total variation regularization, resulting in higher signal-to-noise ratio and visually more appealing reconstructed images. Simple and effective implementation of the proposed regularization technique within the conjugate gradient algorithm makes it a competitive alternative to conventional regularization methods.
Organisation STFC , SCI-COMP , SCI-COMP-CM
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Language English (EN)
Type Details URI(s) Local file(s) Year
Preprint RAL-P-2015-001, Proceedings of the Royal Society A 2015. RAL-P-2015-001.pdf 2015
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