KNLMeansCL - Revision history

Reel.Deal: v1.1.1e documentation update

2021-02-22T06:05:43Z

v1.1.1e documentation update

Pinterf: New pfmod version 1.1.1c

2020-11-01T18:30:54Z

New pfmod version 1.1.1c

Reel.Deal: /* Requirements */

2020-06-25T07:58:23Z

‎Requirements

Reel.Deal: add test version for AviSynth+ 3.5.2 or greater

2020-06-25T07:56:01Z

add test version for AviSynth+ 3.5.2 or greater

Reel.Deal: /* Requirements */

2020-05-15T13:43:02Z

‎Requirements

Reel.Deal: KNLMeansCL: add documentation

2020-04-11T16:51:44Z

KNLMeansCL: add documentation

Raffriff42: added category

2015-11-08T04:21:48Z

added category

Raffriff42: redirect for convenient searching

2015-11-08T01:29:56Z

redirect for convenient searching

New page

#REDIRECT [[External_filters#Denoisers]]
{{FilterCat|External_filters|Denoisers|}}

@@ Line 1: / Line 1: @@
 {{FilterCat6|External_filters|Plugins|Plugins_x64|Denoisers|Spatial-Temporal Denoisers|Deep_color_tools}}
 {{Filter3
-|[https://github.com/Khanattila Khanattila]
+|[https://github.com/Khanattila Khanattila], {{Author/pinterf}}
-|v1.1.1
+|v1.1.1e
+|3=[https://github.com/pinterf/KNLMeansCL/releases KNLMeansCL_1.1.1e_v20201112-pfmod.7z]
-=[https://github.com/Khanattila/KNLMeansCL/releases KNLMeansCL-v1.1.1.zip]
----------
-<span style="color:red">'''AviSynth+ 3.5.2 or greater'''</span>
-[https://github.com/pinterf/KNLMeansCL/releases KNLMeansCL_1.1.1c_v20201028-pfmod.7z]
 |4=Spatial-Temporal Denoisers
 |5=[http://www.gnu.org/licenses/gpl-3.0.txt GPLv3]
@@ Line 16: / Line 12: @@
 == Description ==
 KNLMeansCL is an optimized OpenCL implementation of the Non-local means de-noising algorithm. The NLMeans filter, originally proposed by Buades et al., is a very popular filter for the removal of white Gaussian noise, due to its simplicity and excellent performance. The strength of this algorithm is to exploit the repetitive character of the image in order to de-noise the image unlike conventional de-noising algorithms, which typically operate in a local neighbourhood.
 <br>
 <br>
@@ Line 24: / Line 18: @@
 * [x64]: [[AviSynth+]]
 * Supported color formats: [[RGB32]], [[Y8]], [[YV12]], [[YV16]], [[YV24]], [[YV411]]
-** AviSynth+: all [[planar]] YUV formats 8/10/12/16-bit and float are supported. Also [[RGB64]] is supported
+** AviSynth+: all [[planar]] formats (8/10/12/14/16/32bit, Y/YUV/RGB with or without alpha) are supported. [[RGB64]] is also supported.
 <br>
-* [https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Microsoft Visual C++ 2015 Redistributable Package (x86 / x64)]
+* [https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Microsoft Visual C++ 2019 Redistributable Package (x86 / x64)]
 :<span style="color:red">***</span> <tt>vc_redist.x86.exe</tt> is required for <tt>KNLMeansCL-x86</tt>
 :<span style="color:red">***</span> <tt>vc_redist.x64.exe</tt> is required for <tt>KNLMeansCL-x64</tt>
@@ Line 34: / Line 28: @@
 == [[Script variables|Syntax and Parameters]] ==
-:{{Template:FuncDef|KNLMeansCL (clip, int "d", int "a", int "s", float "h", string "channels", int "wmode", float "wref", clip "rclip", string "device_type", int "device_id", int "ocl_x", int "ocl_y", int "ocl_r", bool "stacked", bool "info")}}
+:{{Template:FuncDef|KNLMeansCL (clip, int "d", int "a", int "s", float "h", string "channels", int "wmode", float "wref", clip "rclip", string "device_type", int "device_id", int "ocl_x", int "ocl_y", int "ocl_r", bool "stacked", bool "info", int "mode_9_to_15bits")}}
 <br>
 ::{{Par2| |clip| }}
@@ Line 55: / Line 49: @@
 ::{{Par2|channels|string|"auto"}}
 :::Set the colour channels to be denoised. Possible values are <code>"YUV", "Y", "UV" or "RGB"</code>, depending on the source colour format. By default, "Y" is denoised if colour space is YUV, otherwise "RGB".
 <br>
 ====Advanced====
@@ Line 93: / Line 88: @@
 ::{{Par2|info|bool|false}}
 :::Display info on the screen. It requires YUV colour space.
 <br>
 == Examples ==
@@ Line 101: / Line 100: @@
 <br>
 == Changelog ==
-See https://github.com/Khanattila/KNLMeansCL/blob/master/CHANGELOG
+<pre>
 <br>

@@ Line 7: / Line 7: @@
 ---------
 <span style="color:red">'''AviSynth+ 3.5.2 or greater'''</span>
-[https://github.com/pinterf/KNLMeansCL/releases KNLMeansCL_1.1.1_test_for_avs3.5.2.7z]
+[https://github.com/pinterf/KNLMeansCL/releases KNLMeansCL_1.1.1c_v20201028-pfmod.7z]
 |4=Spatial-Temporal Denoisers
 |5=[http://www.gnu.org/licenses/gpl-3.0.txt GPLv3]

@@ Line 24: / Line 24: @@
 * [x64]: [[AviSynth+]]
 * Supported color formats: [[RGB32]], [[Y8]], [[YV12]], [[YV16]], [[YV24]], [[YV411]]
-** AviSynth+: all planar YUV formats 8/10/12/16bit and float are supported. Also [[RGB64]] is supported
+** AviSynth+: all [[planar]] YUV formats 8/10/12/16-bit and float are supported. Also [[RGB64]] is supported
 <br>
 * [https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Microsoft Visual C++ 2015 Redistributable Package (x86 / x64)]

@@ Line 5: / Line 5: @@
+|
 =[https://github.com/Khanattila/KNLMeansCL/releases KNLMeansCL-v1.1.1.zip]
 |4=Spatial-Temporal Denoisers
 |5=[http://www.gnu.org/licenses/gpl-3.0.txt GPLv3]
@@ Line 14: / Line 17: @@
 KNLMeansCL is an optimized OpenCL implementation of the Non-local means de-noising algorithm. The NLMeans filter, originally proposed by Buades et al., is a very popular filter for the removal of white Gaussian noise, due to its simplicity and excellent performance. The strength of this algorithm is to exploit the repetitive character of the image in order to de-noise the image unlike conventional de-noising algorithms, which typically operate in a local neighbourhood.
 <br>
 == Requirements ==
 * [x86]: [[AviSynth+]] or [http://sourceforge.net/projects/avisynth2/ AviSynth 2.6]

@@ Line 22: / Line 22: @@
 ** AviSynth+: all planar YUV formats 8/10/12/16bit and float are supported. Also [[RGB64]] is supported
 <br>
-* Microsoft VisualC++ Redistributable Package 2015
+* [https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads Microsoft Visual C++ 2015 Redistributable Package (x86 / x64)]
 * Compatible CPU or GPU, see requirements here: https://github.com/Khanattila/KNLMeansCL/wiki/Requirements
 <br>
 == [[Script variables|Syntax and Parameters]] ==
 :{{Template:FuncDef|KNLMeansCL (clip, int "d", int "a", int "s", float "h", string "channels", int "wmode", float "wref", clip "rclip", string "device_type", int "device_id", int "ocl_x", int "ocl_y", int "ocl_r", bool "stacked", bool "info")}}

← Older revision		Revision as of 16:51, 11 April 2020
Line 1:		Line 1:
−	~~#REDIRECT~~ [[~~External_filters#~~Denoisers]]	+	{{FilterCat6\|External_filters\|Plugins\|Plugins_x64\|Denoisers\|Spatial-Temporal Denoisers\|Deep_color_tools}}
−	{{~~FilterCat~~\|~~External_filters~~\|~~Denoisers~~\|~~Deep_color_tools~~}}	+	{{Filter3
		+	\|[https://github.com/Khanattila Khanattila]
		+	\|v1.1.1
		+	\|
		+	3=[https://github.com/Khanattila/KNLMeansCL/releases KNLMeansCL-v1.1.1.zip]
		+	\|4=Spatial-Temporal Denoisers
		+	\|5=[http://www.gnu.org/licenses/gpl-3.0.txt GPLv3]
		+	\|6=[http://forum.doom9.org/showthread.php?t=171379 Doom9 Thread]
		+	}}
		+
		+	<br>
		+	== Description ==
		+	KNLMeansCL is an optimized OpenCL implementation of the Non-local means de-noising algorithm. The NLMeans filter, originally proposed by Buades et al., is a very popular filter for the removal of white Gaussian noise, due to its simplicity and excellent performance. The strength of this algorithm is to exploit the repetitive character of the image in order to de-noise the image unlike conventional de-noising algorithms, which typically operate in a local neighbourhood.
		+
		+	<br>
		+
		+	== Requirements ==
		+	* [x86]: [[AviSynth+]] or [http://sourceforge.net/projects/avisynth2/ AviSynth 2.6]
		+	* [x64]: [[AviSynth+]]
		+	* Supported color formats: [[RGB32]], [[Y8]], [[YV12]], [[YV16]], [[YV24]], [[YV411]]
		+	** AviSynth+: all planar YUV formats 8/10/12/16bit and float are supported. Also [[RGB64]] is supported
		+	<br>
		+	* Microsoft VisualC++ Redistributable Package 2015
		+	* Compatible CPU or GPU, see requirements here: https://github.com/Khanattila/KNLMeansCL/wiki/Requirements
		+
		+	<br>
		+	== [[Script variables\|Syntax and Parameters]] ==
		+	:{{Template:FuncDef\|KNLMeansCL (clip, int "d", int "a", int "s", float "h", string "channels", int "wmode", float "wref", clip "rclip", string "device_type", int "device_id", int "ocl_x", int "ocl_y", int "ocl_r", bool "stacked", bool "info")}}
		+	<br>
		+	::{{Par2\| \|clip\| }}
		+	:::Input clip; 8192x8192 is the highest resolution supported.
		+	<br>
		+	::{{Par2\|d\|int\|1}}
		+	:::Set the number of past and future frame that the filter uses for denoising the current frame. d=0 uses 1 frame, while d=1 uses 3 frames and so on. Usually, larger it the better the result of the denoising. Temporal size = (2 * d + 1).
		+	<br>
		+	::{{Par2\|a\|int\|2}}
		+	:::Set the radius of the search window. a=0 uses 1 pixel, while a=1 uses 9 pixels and so on. Usually, larger it the better the result of the denoising. Spatial size = (2 * a + 1)^2.
		+
		+	:::Tip: total search window size = temporal size * spatial size.
		+	<br>
		+	::{{Par2\|s\|int\|4}}
		+	:::Set the radius of the similarity neighbourhood window. The impact on performance is low, therefore it depends on the nature of the noise. Similarity neighborhood size = (2 * s + 1)^2.
		+	<br>
		+	::{{Par2\|h\|float\|1.2}}
		+	:::Controls the strength of the filtering. Larger values will remove more noise.
		+	<br>
		+	::{{Par2\|channels\|string\|"auto"}}
		+	:::Set the colour channels to be denoised. Possible values are <code>"YUV", "Y", "UV" or "RGB"</code>, depending on the source colour format. By default, "Y" is denoised if colour space is YUV, otherwise "RGB".
		+	<br>
		+	====Advanced====
		+	::{{Par2\|wmode\|int\|0}}
		+	:::*0 : Welsch weighting function has a faster decay, but still assigns positive weights to dissimilar blocks. Original Non-local means denoising weighting function.
		+	:::*1 : Modified Bisquare weighting function to be less robust.
		+	:::*2 : Bisquare weighting function use a soft threshold to compare neighbourhoods (the weight is 0 as soon as a given threshold is exceeded).
		+	:::*3 : Modified Bisquare weighting function to be even more robust.
		+	<br>
		+	::{{Par2\|wref\|float\|1.0}}
		+	:::Amount of original pixel to contribute to the filter output, relative to the weight of the most similar pixel found.
		+	<br>
		+	::{{Par2\|rclip\|clip\| }}
		+	:::Extra reference clip option to do weighting calculation.
		+	<br>
		+	====OpenCL====
		+	::{{Par2\|device_type\|string\|"auto"}}
		+	:::*<code>"accelerator"</code> : Dedicated OpenCL accelerators.
		+	:::*<code>"cpu"</code> : An OpenCL device that is the host processor.
		+	:::*<code>"gpu"</code> : An OpenCL device that is a GPU.
		+	:::*<code>"auto"</code> : "accelerator" -> "gpu" -> "cpu".
		+	<br>
		+	::{{Par2\|device_id\|int\|0}}
		+	:::The 'device_id'+1º device of type 'device_type' in the system. Example: [device_type = "GPU", device_id = 1] return the second GPU in the system.
		+	<br>
		+	::{{Par2\|ocl_x\|int\|0}}
		+	::{{Par2\|ocl_y\|int\|0}}
		+	::{{Par2\|ocl_r\|int\|0}}
		+	:::They should not be changed, unless you know what you are doing.
		+	:::*'ocl_x' and 'olc_y' are the local work group size of the separable convolution kernel.
		+	:::*'olc_r' is the number of processed pixel for work-item.
		+	<br>
		+	====Miscellaneous====
		+	::{{Par2\|stacked\|bool\|false}}
		+	:::AviSynth hack. Set 16-bit stacked input and output clip. See [[Stack16]] for more info.
		+	:::AviSynth+ supports native high bit depth; this hack is only for AviSynth 2.6.
		+	<br>
		+	::{{Par2\|info\|bool\|false}}
		+	:::Display info on the screen. It requires YUV colour space.
		+	<br>
		+	== Examples ==
		+	KNLMeansCL with all default settings:
		+	[[AviSource]]("Blah.avi")
		+	KNLMeansCL()
		+
		+	<br>
		+	== Changelog ==
		+	See https://github.com/Khanattila/KNLMeansCL/blob/master/CHANGELOG
		+
		+	<br>
		+	== External Links ==
		+	*[https://github.com/Khanattila/KNLMeansCL GitHub] - Source code repository.
		+	<br>
		+	<br>
		+	-----------------------------------------------
		+	'''Back to [[External_filters#Denoisers\|External Filters]] ←'''

← Older revision		Revision as of 04:21, 8 November 2015
Line 1:		Line 1:
	#REDIRECT [[External_filters#Denoisers]]		#REDIRECT [[External_filters#Denoisers]]
−	{{FilterCat\|External_filters\|Denoisers\|}}	+	{{FilterCat\|External_filters\|Denoisers\|Deep_color_tools}}