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Update documentation for cv::cuda::createMedianFilter #4023

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Update documentation for cv::cuda::createMedianFilter #4023

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11 changes: 8 additions & 3 deletions modules/cudafilters/include/opencv2/cudafilters.hpp
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Expand Up @@ -359,13 +359,18 @@ CV_EXPORTS_W Ptr<Filter> createColumnSumFilter(int srcType, int dstType, int ksi

/** @brief Performs median filtering for each point of the source image.

@param srcType type of of source image. Only CV_8UC1 images are supported for now.
@param srcType type of of source image. Only CV_8UC1 if CUDA_VERSION < 11. CV_8UC1, CV_8UC3, CV_8UC4, CV_16UC1, CV_16UC3, CV_16UC4, CV_32FC1, CV_32FC3 or CV_32FC4 if CUDA_VERSION >= 11.
@param windowSize Size of the kernerl used for the filtering. Uses a (windowSize x windowSize) filter.
@param partition Specifies the parallel granularity of the workload. This parameter should be used GPU experts when optimizing performance.
@param partition Specifies the parallel granularity of the workload. Only used if CUDA_VERSION < 11.

Outputs an image that has been filtered using a median-filtering formulation.

Details on this algorithm can be found in:
If compiled with CUDA 11 or greater, a wavelet based algorithm is used as described at:
https://cgenglab.github.io/en/publication/sigga22_wmatrix_median/
Yuji Moroto, Nobuyuki Umetani, 2022, "Constant Time Median Filter Using 2D Wavelet Matrix",
ACM Transactions on Graphics, Volume 41, Issue 6.

For earlier versions of CUDA, details on the algorithm used can be found in:
Green, O., 2017. "Efficient scalable median filtering using histogram-based operations",
IEEE Transactions on Image Processing, 27(5), pp.2217-2228.

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