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Proceedings Paper

Compact rotation invariant descriptor for non-local means
Author(s): Nicholas Dowson; Olivier Salvado
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Paper Abstract

Non-local means is a recently proposed denoising technique that better preserves image structures than other methods. However, the computational cost of non-local means is prohibitive, especially for large 3D images. Modifications have previously been proposed to reduce the cost, which result in image artefacts. This paper proposes a compact rotation invariant descriptor. Testing demonstrates improved denoising performance relative to optimized non-local means. Rotation invariant non-local means is an order of magnitude faster.

Paper Details

Date Published: 13 March 2010
PDF: 8 pages
Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 76233C (13 March 2010); doi: 10.1117/12.844088
Show Author Affiliations
Nicholas Dowson, Australian e-Health Research Ctr., CSIRO (Australia)
Olivier Salvado, Australian e-Health Research Ctr., CSIRO (Australia)


Published in SPIE Proceedings Vol. 7623:
Medical Imaging 2010: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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