Performance assessment of patch-based bilateral denoising
(2009) First International Workshop on Medical Image Analysis and Description for Diagnosis Systems (MIAD 2009) — Location: Porto (Portugal) (14.January.2009)
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- Abstract
- In the field of medical image analysis, denoising is one of the most important preprocessing steps before medical analysis. The design of an efficient, robust, and computationally effective edge-preserving denoising algorithm is a widely studied, and yet unsolved problem. One of the most efficient edge-preserving denoising algorithms is the bilateral filter, which is an intuitive generalization of the local M-smoother. In this paper, we propose to modify both the bilateral filter and the local M-smoother to use patches of the image instead of single voxels in the denoising process. Using patches instead of single voxels in the filtering process is a way to adapt the filter to the textures, ramps, and edges of the image, and make the filter more discriminant. The filtering performances of the patch-based algorithms are evaluated on a benchmark and a CT phantom image and compared to the bilateral filter and local M-smoother.
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Citations
De Decker, A., Lee, J., & Verleysen, M. (2009). Performance assessment of patch-based bilateral denoising. In Djemal, K. (ed.), First International Workshop on Medical Image Analysis and Description for Diagnosis Systems - MIAD 2009 (p. p. 52-61). Insticc press. https://hdl.handle.net/2078.5/253916