Performs pure non local means denoising without any simplification, and thus it is not fast.
.. ocv:function:: void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_widow_size = 11, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null())
.. ocv:function:: void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null())
:param src: Source image. Supports only CV_8UC1, CV_8UC2 and CV_8UC3.
:param dst: Destination imagwe.
:param dst: Destination image.
:param h: Filter sigma regulating filter strength for color.
:param search_widow_size: Size of search window.
:param search_window: Size of search window.
:param block_size: Size of block used for computing weights.
...
...
@@ -869,6 +869,72 @@ Performs pure non local means denoising without any simplification, and thus it
:ocv:func:`fastNlMeansDenoising`
gpu::FastNonLocalMeansDenoising
-------------------------------
.. ocv:class:: gpu::FastNonLocalMeansDenoising
class FastNonLocalMeansDenoising
{
public:
//! Simple method, recommended for grayscale images (though it supports multichannel images)
void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
//! Processes luminance and color components separatelly
void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
};
The class implements fast approximate Non Local Means Denoising algorithm.
gpu::FastNonLocalMeansDenoising::simpleMethod()
-------------------------------------
Perform image denoising using Non-local Means Denoising algorithm http://www.ipol.im/pub/algo/bcm_non_local_means_denoising with several computational optimizations. Noise expected to be a gaussian white noise
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
:param src: Input 8-bit 1-channel, 2-channel or 3-channel image.
:param dst: Output image with the same size and type as ``src`` .
:param h: Parameter regulating filter strength. Big h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
:param search_window: Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater search_window - greater denoising time. Recommended value 21 pixels
:param block_size: Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
:param stream: Stream for the asynchronous invocations.
This function expected to be applied to grayscale images. For colored images look at ``FastNonLocalMeansDenoising::labMethod``.
.. seealso::
:ocv:func:`fastNlMeansDenoising`
gpu::FastNonLocalMeansDenoising::labMethod()
-------------------------------------
Modification of ``FastNonLocalMeansDenoising::simpleMethod`` for color images
.. ocv:function:: void gpu::FastNonLocalMeansDenoising::labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());
:param src: Input 8-bit 3-channel image.
:param dst: Output image with the same size and type as ``src`` .
:param h_luminance: Parameter regulating filter strength. Big h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise
:param float: The same as h but for color components. For most images value equals 10 will be enought to remove colored noise and do not distort colors
:param search_window: Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater search_window - greater denoising time. Recommended value 21 pixels
:param block_size: Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
:param stream: Stream for the asynchronous invocations.
The function converts image to CIELAB colorspace and then separately denoise L and AB components with given h parameters using ``FastNonLocalMeansDenoising::simpleMethod`` function.
.. seealso::
:ocv:func:`fastNlMeansDenoisingColored`
gpu::alphaComp
-------------------
Composites two images using alpha opacity values contained in each image.
