Bilateral Filtering: Theory and Applications
Now Publishers Inc, 2009 - Computers - 88 pages
Bilateral filtering is one of the most popular image processing techniques. The bilateral filter is a nonlinear process that can blur an image while respecting strong edges. Its ability to decompose an image into different scales without causing haloes after modification has made it ubiquitous in computational photography applications such as tone mapping, style transfer, relighting, and denoising. Bilateral Filtering: Theory and Applications provides a graphical, intuitive introduction to bilateral filtering, a practical guide for efficient implementation, an overview of its numerous applications, as well as mathematical analysis. This broad and detailed overview covers theoretical and practical issues that will be useful to researchers and software developers.
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Relationship between Bilateral Filtering and Other
Extensions of Bilateral Filtering
Adobe Systems algorithm applications apply the bilateral approach Bayer patterns bilat bilateral ﬁlter bilateral grid blur Buades component compute decomposition deﬁned denoising diﬀerent domain Dorsey 21 Downsampling dual bilateral Durand 22 Durand 50 Durand and Dorsey eﬀect Eisemann and Durand Equation estimate Fattal Figure reproduced ﬁrst ﬂash image Fleishman ﬂow Gaussian convolution Gaussian function Gaussian kernel gradients graphics hardware histogram illumination image denoising image gradient image restoration input image INRIA intensity values iterated Jones layered approximation mesh Microsoft Research mode ﬁltering neighborhood neighbors noise nonlinear normal output Paris and Durand PDEs Petschnigg pixel value pixels q preserve edges proposed PSNR range parameter range weight reﬁne reproduced from Paris Retinex robust statistics sample scheme Section Separable Kernel signal similar smoothing spatial kernel spatial weight tangent technique texture tone mapping upsampling variant visual weighting functions Weiss 71 Winnem¨oller Yaroslavsky filter