Neo VagueDenoiser - Revision history

Reel.Deal: add Deep_color_tools category

2020-06-25T20:21:21Z

add Deep_color_tools category

← Older revision		Revision as of 22:21, 25 June 2020
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	{{~~FilterCat5~~\|External_filters\|Plugins\|Plugins_x64\|Denoisers\|Spatial_denoisers}}		{{FilterCat6\|External_filters\|Plugins\|Plugins_x64\|Denoisers\|Spatial_denoisers\|Deep_color_tools}}
	{{Filter3		{{Filter3
	\| [https://github.com/msg7086 msg7086]		\| [https://github.com/msg7086 msg7086]

Reel.Deal: /* Description */

2020-05-08T16:44:40Z

Description

← Older revision		Revision as of 18:44, 8 May 2020
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	<br>		<br>
	== Description ==		== Description ==
	~~Vague Denoiser~~ is a wavelet based denoiser.		Neo_VagueDenoiser is a wavelet based denoiser.

	Basically, it transforms each frame from the video input into the wavelet domain, using Cohen-Daubechies-Feauveau 9/7. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should give a nice smoothed result, and reduced noise, without blurring picture features.		Basically, it transforms each frame from the video input into the wavelet domain, using Cohen-Daubechies-Feauveau 9/7. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should give a nice smoothed result, and reduced noise, without blurring picture features.

	It was originally written by Lefungus, and later modified by Kurosu and Fizick for further improvement. VapourSynth-VagueDenoiser was ported to VapourSynth interface and refactored by HolyWu. Kudos to them for creating and improving this fantastic tool.		[[VagueDenoiser]] was originally written by Lefungus, and later modified by Kurosu and Fizick for further improvement. VapourSynth-VagueDenoiser was ported to VapourSynth interface and refactored by HolyWu. Kudos to them for creating and improving this fantastic tool.

	This project backports VapourSynth-VagueDenoiser to AviSynth+. This filter self-registers as [[MT_NICE_FILTER]].		This project backports VapourSynth-VagueDenoiser to AviSynth+. This filter self-registers as [[MT_NICE_FILTER]].
	<br>		<br>
	<br>		<br>

	== Requirements ==		== Requirements ==
	* [[AviSynth+]] (x86 / x64)		* [[AviSynth+]] (x86 / x64)

Reel.Deal: /* Changelog */

2020-04-19T19:16:11Z

Changelog

← Older revision		Revision as of 21:16, 19 April 2020
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	== Changelog ==		== Changelog ==
	Version Date Changes<br>		Version Date Changes<br>

	r1 2020/04/19 - Initial release		r1 2020/04/19 - Initial release
	<br>		<br>

Reel.Deal: NeoVagueDenoiser: add documentation

2020-04-19T14:37:08Z

NeoVagueDenoiser: add documentation

New page

{{FilterCat5|External_filters|Plugins|Plugins_x64|Denoisers|Spatial_denoisers}}
{{Filter3
| [https://github.com/msg7086 msg7086]
| r1v2
| [https://github.com/HomeOfAviSynthPlusEvolution/neo_Vague_Denoiser/releases neo-vague-denoiser_r1v2.zip]
| Spatial Denoisers
|5=[https://www.gnu.org/licenses/gpl-2.0.txt GPLv2]
|6=[https://forum.doom9.org/showthread.php?t=181310 Doom9 Forum]}}
 
== Description ==
Vague Denoiser is a wavelet based denoiser.

Basically, it transforms each frame from the video input into the wavelet domain, using Cohen-Daubechies-Feauveau 9/7. Then it applies some filtering to the obtained coefficients. It does an inverse wavelet transform after. Due to wavelet properties, it should give a nice smoothed result, and reduced noise, without blurring picture features.

It was originally written by Lefungus, and later modified by Kurosu and Fizick for further improvement. VapourSynth-VagueDenoiser was ported to VapourSynth interface and refactored by HolyWu. Kudos to them for creating and improving this fantastic tool.

This project backports VapourSynth-VagueDenoiser to AviSynth+. This filter self-registers as [[MT_NICE_FILTER]].
 
 
== Requirements ==
* [[AviSynth+]] (x86 / x64)
* Supported color formats: 8...16-bit, [[Y8]], [[YV12]], [[YV16]], [[YV24]]
 
== [[Script variables|Syntax and Parameters]] ==
:{{Template:FuncDef| neo_vd (clip clip, float "threshold", int "method", int "nsteps", float "percent", int "y", int "u", int "v", int "opt")}}
 
::{{Par2| |clip| }}
:::A clip to process. It must have constant format and it must be 8..16 bit with integer samples.
 
::{{Par2|threshold|float|2.0}}
:::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.
 
::{{Par2|method|int|2}}
:::The filtering method the filter will use.
:::*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 : Qian's (garrote) thresholding. Scales or nullifies coefficients - intermediary between (more) soft and (less) hard thresholding.
 
::{{Par2|nsteps|int|6}}
::: Number of times, the wavelet will decompose the picture. Picture can't be decomposed beyond a particular point (typically, 8 for a 640x480 frame - as 2^9 = 512 > 480).
 
::{{Par2|percent|float|85.0}}
:::Partial of full denoising (limited coefficients shrinking), from 0 to 100.
 
::{{Par2|y|int|3}}
::{{Par2|u|int|3}}
::{{Par2|v|int|3}}
:::Whether a plane is to be filtered.
:::* 1 : Do not touch, leaving garbage data
:::* 2 : Copy from origin
:::* 3 : Process
 
::{{Par2|opt|int|0}}
:::Sets which CPU optimizations to use.
:::*0 - Auto detect
:::*1 - Use C
:::*2 - Use up to SSE (for core)
:::*3 - Use up to SSE4.1 (for data copy)
:::*4 - Use up to AVX (for core)
:::*5 - Use up to AVX2 (for data copy)
 
 
== Examples ==
*Neo_VagueDenoiser with default settings:
[[AviSource]]("Blah.avi")
neo_vd (threshold=2.0, method=2, nsteps=6, percent=85.0, Y=3, U=3, V=3)
 
== Changelog ==
Version Date Changes 

r1 2020/04/19 - Initial release
 

== Archived Downloads ==
See [https://github.com/HomeOfAviSynthPlusEvolution/neo_Vague_Denoiser/releases GitHub release section.]

 

== External Links ==
*[https://github.com/HomeOfAviSynthPlusEvolution/neo_Vague_Denoiser GitHub] - Source code repository.
 
 
-----------------------------------------------
'''Back to [[External_filters#Spatial_Denoisers| External Filters]] ←'''