Paper Info
Title
Other approaches to obtain the fast and Piecewise-linear Bilateral Filter in 3D space
Abstract
Bilateral Filter has demonstrated great effectiveness for a variety of applications in image process, computer vision and computer graphic due to its property of edge preserving while removing noise. Since it is not as fast as linear filter because of its nonlinear nature, lots of researchers have proposed their own fast versions for Bilateral Filter. In this paper, we focus on the fast versions of Fast and Piecewise-linear Bilateral Filter. With the idea of weight averaging the 3D function which is defined on the image surface, we obtained the Fast Bilateral Filter through a more intuitionistic way than the pure mathematic derivation method which is used by Paris. By varying the 3D function form, we derived another 3D expression of Bilateral Filter, then demonstrated that the Piecewise-linear version is a downsampled version of ours, and proposed some theoretical interpretation for this downsampling strategy.
Year
DOI
Venue
2010
10.1109/ICNSC.2010.5461521
ICNSC
Keywords
Field
DocType
weight averaging,signal sampling,statistical analysis,mathematic derivation method,3d space,downsampling strategy,image surface,piecewise linear bilateral filter,filtering theory,3d function,piecewise linear techniques,stereo image processing,convolution,linear filtering,robustness,acceleration,histograms,computer graphic,low pass filters,adaptive filters,functional form,image processing,kernel,piecewise linear,pixel,iterative methods,bilateral filtering,anisotropic magnetoresistance
Root-raised-cosine filter,Half-band filter,Control theory,Computer science,Low-pass filter,Kernel adaptive filter,Adaptive filter,Bilateral filter,Edge-preserving smoothing,Filter design
Conference
Volume
Issue
ISBN
null
null
978-1-4244-6450-0
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Kehu Yang1142.47
Siyao Fu210314.95
Ying-Gui Shi300.34