Bilateral Filter (3D)
Fast 3D recursive bilateral filter implementation based on the one proposed by Qingxiong Yang [20]. More...
Detailed Description
Fast 3D recursive bilateral filter implementation based on the one proposed by Qingxiong Yang [20].
- Possible problems with very large images or images of type UINT32 and bigger
Collaboration diagram for Bilateral Filter (3D):
Functions | |
| template<class T > | |
| RES_T | recursiveBilateralFilter (const Image< T > &imIn, float sigmaW, float sigmaR, Image< T > &imOut) |
| recursiveBilateralFilter 3D Bilateral Filter More... | |
Function Documentation
◆ recursiveBilateralFilter()
| RES_T recursiveBilateralFilter | ( | const Image< T > & | imIn, |
| float | sigmaW, | ||
| float | sigmaR, | ||
| Image< T > & | imOut | ||
| ) |
recursiveBilateralFilter 3D Bilateral Filter
- Parameters
-
[in] imIn : input Image [in] sigmaW : spatial standard deviation of kernel [in] sigmaR : range standard deviation of the kernel [out] imOut : output Image
sigmaW and sigmaR heavily depend on the image. A simple rule of thumb to choose initial values to try for sigmaW and sigmaR is :
- sigmaW : smaller than the mean radius of objects to be preserved (e.g. 10 pixels);
- sigmaR : smaller than the minimal gradient to be preserved (e.g. 10 for 8 bits images).
