DeVCR - Revision history

Reel.Deal: /* Syntax and Parameters */ correction

2020-06-22T23:28:57Z

‎Syntax and Parameters: correction

Reel.Deal: reformat

2020-06-22T18:40:57Z

reformat

Raffriff42: added category

2015-11-08T00:52:42Z

added category

Admin: 1 revision

2013-05-19T22:03:18Z

1 revision

Wilbert at 21:18, 18 May 2013

2013-05-18T21:18:25Z

Admin: 1 revision

2013-05-09T21:34:45Z

1 revision

Laur: Shared functions/deVCR moved to DeVCR: Remove obsolete shared functions category. See Talk:External filters.

2009-08-18T14:59:17Z

Shared functions/deVCR moved to DeVCR: Remove obsolete shared functions category. See Talk:External filters.

New page

== deVCR Filter 1.0 by Ricardo Garcia ==

This filter elliminates (to a certain degree) the annoying horizontal lines that keep crawling around your VHS or Beta recorded video.
The algorithm: Calculate the difference between each pixel and the pixels above and below
(it's horizontal noise we're dealing with), and average large portions (resizing the clip to 16 pixels wide is more than enough) of it to detect the horizontal noise. Then check the difference with the next frame and see if it's effectively temporal noise.
After it's detected, just replace each pixel in the noise for the corresponding pixel in the next frame.

function DetectVCRLines(clip c,int threshold)
{
spacial_data = [[GeneralConvolution]]([[ConvertToRGB]](c),0,"0 -1 0 0 2 0 0 -1 0")
bar_data = ConvertToRGB([[BilinearResize]](spacial_data,16,c.height))
st_data = [[Overlay]](bar_data,[[Trim]](bar_data,1,0),mode = "subtract")
st_data2 = [[GreyScale|Greyscale]](Levels(st_data,threshold,10.0,threshold+1,0,255,coring = false))
st_data3 = Greyscale([[Levels]](st_data2,127,10.0,128,0,255,coring = false))
st_data4 = Overlay(st_data3,st_data3,y = -1, mode = "add")
return [[PointResize]](st_data4,c.width,c.height)
}

function deVCR(clip c,int threshold)
{
mybars = DetectVCRLines(c,threshold)
return Overlay(c,Trim(c,1,0), mask = mybars,greymask = true)
}

Usage example:

myclip = [[AviSource|AVISource]]("vcr.avi")
fixedclip = deVCR(myclip,30)
[[StackHorizontal]](myclip,fixedclip,Overlay(myclip,fixedclip,mode = "subtract"))

Here is a result of the filter (original, filtered, diff):

[[Image:devcr.jpg]]

The filter's not only effective, it's quite fast. Happy transferring!

[[Category:Shared functions]]

@@ Line 24: / Line 24: @@
 <br>
 ::{{Par2| |clip| }}
-:::Input clip; YUV and RGB colorspaces accepted. Clip is converted to RGB.
+:::Input clip; 8-bit YUV and RGB colorspaces accepted.
 <br>
 ::{{Par2||int|}}
 :::<code>threshold</code>
 <br>
 == Script ==
 <pre>

← Older revision		Revision as of 00:52, 8 November 2015
Line 1:		Line 1:
		+	{{FilterCat4\|External_filters\|Shared_functions\|Restoration_filters\|Film_Damage}}
	== deVCR Filter 1.0 by Ricardo Garcia ==		== deVCR Filter 1.0 by Ricardo Garcia ==

Line 34:		Line 35:

	The filter's not only effective, it's quite fast. Happy transferring!		The filter's not only effective, it's quite fast. Happy transferring!
−
−	~~[[Category:Shared functions]]~~
−	~~[[Category:External filters]]~~

← Older revision		Revision as of 21:18, 18 May 2013
Line 36:		Line 36:

	[[Category:Shared functions]]		[[Category:Shared functions]]
		+	[[Category:External filters]]

@@ Line 1: / Line 1: @@
-{{FilterCat4|External_filters|Shared_functions|Restoration_filters|Film_Damage}}
+{{FilterCat4|External_filters|Scripts|Restoration_filters|Film_Damage}}
-== deVCR Filter 1.0 by Ricardo Garcia ==
+{{Filter3
-This filter elliminates (to a certain degree) the annoying horizontal lines that keep crawling around your VHS or Beta recorded video.
+<br>
-The algorithm: Calculate the difference between each pixel and the pixels above and below
-(it's horizontal noise we're dealing with), and average large portions (resizing the clip to 16 pixels wide is more than enough) of it to detect the horizontal noise. Then check the difference with the next frame and see if it's effectively temporal noise.
-After it's detected, just replace each pixel in the noise for the corresponding pixel in the next frame.
- function DetectVCRLines(clip c,int threshold)
+== Requirements ==
+* [x86]: [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6]
-   spacial_data = [[GeneralConvolution]]([[ConvertToRGB]](c),0,"0 -1 0 0 2 0 0 -1 0")
+* [x64]: [[AviSynth+]]
-   bar_data = ConvertToRGB([[BilinearResize]](spacial_data,16,c.height))
+*Supported color formats: 8-bit RGB and YUV
-   st_data = [[Overlay]](bar_data,[[Trim]](bar_data,1,0),mode = "subtract")
+<br>
-   st_data2 = [[GreyScale|Greyscale]](Levels(st_data,threshold,10.0,threshold+1,0,255,coring = false))
-   st_data3 = Greyscale([[Levels]](st_data2,127,10.0,128,0,255,coring = false))
-   st_data4 = Overlay(st_data3,st_data3,y = -1, mode = "add")
-   return [[PointResize]](st_data4,c.width,c.height)
-−
-−
- function deVCR(clip c,int threshold)
-−
-   mybars = DetectVCRLines(c,threshold)
-   return Overlay(c,Trim(c,1,0), mask = mybars,greymask = true)
-−
 Usage example:
@@ Line 33: / Line 59: @@
 [[Image:devcr.jpg]]
+<br>
-The filter's not only effective, it's quite fast. Happy transferring!
+<br>