VagueDenoiser - Revision history

Reel.Deal: /* Description */ update link

2023-02-09T07:48:57Z

Description: update link

← Older revision		Revision as of 09:48, 9 February 2023
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	Basically, it transforms each frame from the video input into the wavelet domain, using various wavelet filters. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should gives a nice smoothed result, and reduced noise, without blurring picture features. This wavelet transform could be done on each plane of the colorspace. This filter uses a wavelets from Brislawn tutorial.		Basically, it transforms each frame from the video input into the wavelet domain, using various wavelet filters. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should gives a nice smoothed result, and reduced noise, without blurring picture features. This wavelet transform could be done on each plane of the colorspace. This filter uses a wavelets from Brislawn tutorial.

	See official [~~https~~://avisynth.~~org.ru~~/vague/vaguedenoiser.html documentation.]		See official [http://www.avisynth.nl/users/fizick/vague/vaguedenoiser.html documentation.]
	<br>		<br>
	<br>		<br>

Reel.Deal: /* Description */ add note

2022-11-24T20:09:01Z

Description: add note

← Older revision		Revision as of 22:09, 24 November 2022
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	<br>		<br>
	<br>		<br>
			<span style="color:red">'''Note: [[neo_VagueDenoiser]] is recommended as a modern replacement for VagueDenoiser.'''</span>
			<br>
			<br>

	== Requirements ==		== Requirements ==
	* [x86]: [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6]		* [x86]: [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6]

Reel.Deal: /* Requirements */

2020-05-24T02:35:44Z

Requirements

← Older revision		Revision as of 04:35, 24 May 2020
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	<br>		<br>
	== Requirements ==		== Requirements ==
	* [x86]: [[AviSynth+]] or [~~http~~://~~forum~~.~~doom9.org~~/~~showthread.php?t=168764~~ AviSynth 2.6]		* [x86]: [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6]
	* [x64]: [[AviSynth+]]		* [x64]: [[AviSynth+]]
	* Supported color formats: [[RGB24]], [[RGB32]], [[YUY2]], [[YV12]]		* Supported color formats: [[RGB24]], [[RGB32]], [[YUY2]], [[YV12]]
	<br>		<br>

	== [[Script variables\|Syntax and Parameters]] ==		== [[Script variables\|Syntax and Parameters]] ==
	:{{Template:FuncDef\| VagueDenoiser (clip, int "threshold", int "method", int "nsteps", float "chromaT", bool "debug", bool "interlaced", int "wavelet", bool "Wiener", float "wratio", integer "percent", clip "auxclip")}}		:{{Template:FuncDef\| VagueDenoiser (clip, int "threshold", int "method", int "nsteps", float "chromaT", bool "debug", bool "interlaced", int "wavelet", bool "Wiener", float "wratio", integer "percent", clip "auxclip")}}

Reel.Deal at 16:43, 8 May 2020

2020-05-08T16:43:11Z

← Older revision		Revision as of 18:43, 8 May 2020
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	Basically, it transforms each frame from the video input into the wavelet domain, using various wavelet filters. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should gives a nice smoothed result, and reduced noise, without blurring picture features. This wavelet transform could be done on each plane of the colorspace. This filter uses a wavelets from Brislawn tutorial.		Basically, it transforms each frame from the video input into the wavelet domain, using various wavelet filters. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should gives a nice smoothed result, and reduced noise, without blurring picture features. This wavelet transform could be done on each plane of the colorspace. This filter uses a wavelets from Brislawn tutorial.

			See official [https://avisynth.org.ru/vague/vaguedenoiser.html documentation.]
	<br>		<br>
	<br>		<br>

Reel.Deal: add archived links

2020-05-08T16:07:15Z

add archived links

← Older revision		Revision as of 18:07, 8 May 2020
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	\| [x86]<br>[http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]		\| [x86]<br>[http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
	-----------		-----------
	[x64]<br>[http://www.~~mediafire~~.~~com~~/~~file~~/~~pfu2k5do1lvka1n~~/VagueDenoiser_0351_64.7z~~/file~~ VagueDenoiser_0351_64.7z]		[x64]<br>[https://web.archive.org/web/20191106173119if_/http://www.iol.ie/%7Eschubert/gas/VagueDenoiser_0351_64.7z VagueDenoiser_0351_64.7z]
	\| Spatial Denoisers		\| Spatial Denoisers
	\|5=[https://www.gnu.org/licenses/gpl-2.0.txt GPLv2]		\|5=[https://www.gnu.org/licenses/gpl-2.0.txt GPLv2]
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	\|[x86] - [http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]		\|[x86] - [http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
	-----------		-----------
	[x64] - [http://www.~~mediafire~~.~~com~~/~~file~~/~~pfu2k5do1lvka1n~~/VagueDenoiser_0351_64.7z~~/file~~ VagueDenoiser_0351_64.7z]		[x64] - [https://web.archive.org/web/20191106173119if_/http://www.iol.ie/%7Eschubert/gas/VagueDenoiser_0351_64.7z VagueDenoiser_0351_64.7z]
	\|[https://web.archive.org/web/20160328234758if_/http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]		\|[https://web.archive.org/web/20160328234758if_/http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
	-----------		-----------
	N/A		[http://www.mediafire.com/file/pfu2k5do1lvka1n/VagueDenoiser_0351_64.7z/file VagueDenoiser_0351_64.7z]
	\|}		\|}
	* 64bit version compiled by [https://forum.doom9.org/showthread.php?t=173259 Groucho2004]		* 64bit version compiled by [https://forum.doom9.org/showthread.php?t=173259 Groucho2004]

Reel.Deal: VagueDenoiser: add documentation

2020-05-08T14:42:37Z

VagueDenoiser: add documentation

← Older revision		Revision as of 16:42, 8 May 2020
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	~~#REDIRECT~~ [[~~External_filters#Spatial_Denoisers~~]]		{{FilterCat5\|External_filters\|Plugins\|Plugins_x64\|Denoisers\|Spatial_denoisers}}
	{{~~FilterCat~~\|~~External_filters~~\|~~Denoisers~~\|~~Spatial_denoisers~~}}		{{Filter3
			\| {{Author/Lefungus}}, {{Author/Kurosu}}, {{Author/Fizick}}
			\| v.0.35.1
			\| [x86]<br>[http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
			-----------
			[x64]<br>[http://www.mediafire.com/file/pfu2k5do1lvka1n/VagueDenoiser_0351_64.7z/file VagueDenoiser_0351_64.7z]
			\| Spatial Denoisers
			\|5=[https://www.gnu.org/licenses/gpl-2.0.txt GPLv2]
			\|6=[https://forum.doom9.org/showthread.php?t=56871 Doom9 Forum]}}
			<br>
			== Description ==
			Vague Denoiser is a wavelet based denoiser.

			Basically, it transforms each frame from the video input into the wavelet domain, using various wavelet filters. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should gives a nice smoothed result, and reduced noise, without blurring picture features. This wavelet transform could be done on each plane of the colorspace. This filter uses a wavelets from Brislawn tutorial.
			<br>
			<br>
			== Requirements ==
			* [x86]: [[AviSynth+]] or [http://forum.doom9.org/showthread.php?t=168764 AviSynth 2.6]
			* [x64]: [[AviSynth+]]
			* Supported color formats: [[RGB24]], [[RGB32]], [[YUY2]], [[YV12]]
			<br>
			== [[Script variables\|Syntax and Parameters]] ==
			:{{Template:FuncDef\| VagueDenoiser (clip, int "threshold", int "method", int "nsteps", float "chromaT", bool "debug", bool "interlaced", int "wavelet", bool "Wiener", float "wratio", integer "percent", clip "auxclip")}}
			<br>
			::{{Par2\| \|clip\| }}
			:::Input clip to process.
			<br>
			::{{Par2\|threshold\|float\|0.0}}
			:::Filtering strength. The higher, the more filtered the clip will be. Hard thresholding can use a higher threshold than Soft thresholding before the clip looks overfiltered.
			:::*If set < 0, then luminosity denoising will be disabled
			:::*If set = 0, then threshold is estimated automatically (adaptive)
			<br>
			::{{Par2\|method\|int\|3}}
			:::The filtering method the filter will use.
			:::*-1 : No thresholding (debug purpose)
			:::*0 : Hard Thresholding. All values under the threshold will be zeroed.
			:::*1 : Soft Thresholding. All values under the threshold will be zeroed. All values above will be reduced by the threshold.
			:::*2 : Adaptive thresholding (NormalSrink method). Scale input threshold depending on local wavelet data (local = wavelet decomposition subband level).
			:::*3 : Qian's (garrote) thresholding. Scales or nullifies coefficients - intermediary between (more) soft and (less) hard thresholding.
			:::*4 : Uniformly smooth shrinking function.
			<br>
			::{{Par2\|nsteps\|int\|4}}
			:::Number of times, the wavelet will decompose the picture. High values can be slower but results will be better.
			:::Suggested values are 3-6.
			:::Picture can't be decomposed beyond a particular point (typically, 8 for a 640x480 frame - as 2^9 = 512 > 480)
			<br>
			::{{Par2\|chromaT\|float\|-1.0}}
			:::Set threshold value for Chroma filtering. It is slower but give better results
			:::*If set < 0, then Chroma denoising will be disabled (default mode)
			:::*If set = 0, then threshold is estimated automatically (adaptive)
			<br>
			::{{Par2\|debug\|bool\|false}}
			:::True or false; deactivates the inverse transform for direct display (but not normalize coefficients now). Also enables output for Debugview utility.
			<br>
			::{{Par2\|interlaced\|bool\|false}}
			:::True or false; try to process separately fields clip.
			<br>
			::{{Par2\|wavelet\|int\|1}}
			:::Select wavelet type:
			:::*1 : Cohen-Daubechies-Feauveau 9/7 - popular, probably the best
			:::*2 : Brislawn 10/10 (sharp, used as only in all previous versions from 0.23 to 0.29)
			:::*3 : Villasenor-Belzer-Liao 6/10
			<br>
			::{{Par2\|Wiener\|bool\|false}}
			:::Activates WienerChop two-pass denoising mode for strong denoising with high threshold (slow).
			:::First pass is noise estimation by transform with first wavelet (different from selected wavelet) with selected settings, the second pass is optimal Wiener denoising with second (selected) wavelet.
			:::Second wavelet 1 is used with first (estimation) wavelet 3,
			:::Second wavelet 2 is used with first (estimation) wavelet 1,
			:::Second wavelet 3 is used with first (estimation) wavelet 1.
			<br>
			::{{Par2\|wratio\|float\|0.5}}
			:::Noise std deviation value for Wiener denoising as relative ratio to threshold value.
			<br>
			::{{Par2\|percent\|int\|85}}
			:::Partial of full denoising (limited coefficients shrinking).
			<br>
			::{{Par2\|auxclip\|clip\|}}
			:::auxiliary clip for first pass of Wiener mode (default=none, source)
			:::Prefiltered source clip, preferably with temporal or spatial-temporal filter (such as [[DeGrainMedian]]) for best denoising and artifacts suppression.
			<br>
			== Examples ==
			*VagueDenoiser with default settings:
			[[AviSource]]("Blah.avi")
			VagueDenoiser()
			*See included documentation for more examples.
			<br>
			== Changelog ==
			Version Date Changes<br>
			v0.35.1 2005/09/26 - Lastest release by Fizick
			- Added YUY2 and RGB format for auxclip
			*See included documentation for full changelog

			<br>

			== Archived Downloads ==
			{\| class="wikitable" border="1"; width="500px"
			\|-
			!!width="100px"\| Version
			!!width="150px"\| Download
			!!width="150px"\| Mirror
			\|-
			!v0.35.1
			\|[x86] - [http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
			-----------
			[x64] - [http://www.mediafire.com/file/pfu2k5do1lvka1n/VagueDenoiser_0351_64.7z/file VagueDenoiser_0351_64.7z]
			\|[https://web.archive.org/web/20160328234758if_/http://avisynth.org.ru/vague/vaguedenoiser0351.zip vaguedenoiser0351.zip]
			-----------
			N/A
			\|}
			* 64bit version compiled by [https://forum.doom9.org/showthread.php?t=173259 Groucho2004]

			<br>

			== External Links ==
			<br>
			<br>
			-----------------------------------------------
			'''Back to [[External_filters#Spatial_Denoisers\| External Filters]] ←'''

Raffriff42: redirect for convenient searching

2015-11-08T01:32:28Z

redirect for convenient searching

New page

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