- 4115 users, 635 publications, 769 reviews -
BinShrink: A multi-resolution filter with cache efficient averaging.
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3450|
Submitted by Bradley Lowekamp on 11-18-2013.
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.
|Download Paper , View Paper|
|Download Source code|
|Source code repository|
|Categories:||Code memory optimization, Code speed optimization, Geometric transforms, Iterators, Neighborhood filters, Parallelization, SMP, Resampling, Streaming|
|Keywords:||Multi-resolution, Microscopy, Mean, Shrink, Performance, Scan-line|
Linked Publications more
Anisotropic Fast Marching in ITK
by Mirebeau J.
A Tutorial on Combining Nonlinear Optimization with CUDA
by Hatt C.
Send a message to the author