BinShrink: A multi-resolution filter with cache efficient averaging.
Lowekamp, Bradley, Chen, David
Lockheed Martin Contractor for Office of High Performance Computing and Communications National Library of Medicine
Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3450
New: Prefer using the following doi: https://doi.org/10.54294/p39qox
Published in The Insight Journal - 2013 January-December.
Submitted by Bradley Lowekamp on 2013-11-18 16:34:16.
We present a new filter for the Insight Toolkit (ITK) for reducing the resolution of an image by an integer factor while averaging called BinShrink. This filter provides a new level of performance to ITK for reducing resolution and noise present in an image. The filter supports streaming, multi-threading and most of ITK's pixel types including scalars, Vectors, SymmetricSecondRankTensors, and RGBPixels. The filter has been optimized to efficiently access the input image thereby greatly increasing performance over conventional methods.
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