This documentation is for version 2.0 of SmoothBilateralGuided (net.sf.cimg.CImgBilateralGuided).
Apply joint/cross bilateral filtering on image A, guided by the intensity differences of image B. Uses the ‘blur_bilateral’ function from the CImg library.
CImg is a free, open-source library distributed under the CeCILL-C (close to the GNU LGPL) or CeCILL (compatible with the GNU GPL) licenses. It can be used in commercial applications (see http://cimg.eu).
|Guide||The guide image indicates where similar pixels are located in each neighborhood. The neighborhood of a pixel consists of pixels that are within a neighborhood of side sigma_s, which have an intensity/value in the Guide image that is within a range of size sigma_r around the intensity of the considered pixel.||No|
|Parameter / script name||Type||Default||Function|
|Spatial Std Dev /
||Double||10||Standard deviation of the spatial kernel (positional sigma), in pixel units (>=0). A reasonable value is 1/16 of the image dimension. Small values (1 pixel and below) will slow down filtering.|
|Value Std Dev /
||Double||0.3||Standard deviation of the range kernel (color sigma), in intensity units (>=0). A reasonable value is 1/10 of the intensity range. In the context of denoising, Liu et al. (“Noise estimation from a single image”, CVPR2006) recommend a value of 1.95*sigma_n, where sigma_n is the local image noise. Small values (1/256 of the intensity range and below) will slow down filtering.|
||Integer||2||Number of iterations.|
||Boolean||Off||Divide the image by the alpha channel before processing, and re-multiply it afterwards. Use if the input images are premultiplied.|
|Invert Mask /
||Boolean||Off||When checked, the effect is fully applied where the mask is 0.|
||Double||1||Mix factor between the original and the transformed image.|