RemoveGrainHD - Revision history

Reel.Deal: v0.7 update

2021-02-25T15:56:18Z

v0.7 update

Reel.Deal: update some dead links

2020-06-28T19:09:54Z

update some dead links

Reel.Deal: /* Archived Downloads */ add links

2020-05-21T23:54:50Z

‎Archived Downloads: add links

Reel.Deal: add 64-bit version

2020-04-18T17:00:52Z

add 64-bit version

Reel.Deal: /* Changelog */ link

2015-11-01T00:19:29Z

‎Changelog: link

Reel.Deal: /* SmartMedian */ heading

2015-11-01T00:15:44Z

‎SmartMedian: heading

Reel.Deal: RemoveGrainHD

2015-11-01T00:14:41Z

RemoveGrainHD

Show changes

@@ Line 1: / Line 1: @@
 {{FilterCat4|External_filters|Plugins|Plugins_x64|Denoisers}}
 {{Filter3
-|1={{Author/kassandro}}
+|1={{Author/kassandro}}, {{Author/pinterf}}
-|2=v0.5
+|2=v0.7
-|3=[x86]
+|3=[https://github.com/pinterf/RemoveGrainHD/releases RemoveGrainHD-v0.7.7z]
-[http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
------------
-[x64] [http://www.dropbox.com/s/bb1mnshuuscs3jm/RemoveGrainHD_0.5_x64_bin.zip?dl=1 RemoveGrainHD_0.5_x64_bin.zip]
 |4=Denoisers
 |5=[http://www.gnu.org/licenses/gpl-2.0.txt GPLv2]
-|6=[http://forum.doom9.org/showthread.php?t=169832 Doom9 Thread]
+|6=[https://forum.doom9.org/showthread.php?t=129539 Doom9 Thread]
 }}
@@ Line 19: / Line 16: @@
 * [x86] [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6.0]
 * [x64] [[AviSynth+]]
-* Supported color formats: [[YV12]]
+* Supported color formats: [[Y8]], [[YV12]], [[YV16]], [[YV24]], [[YV411]]
-*[x86 only] [http://www.microsoft.com/en-us/download/details.aspx?id=26999 Microsoft Visual C++ 2010 Redistributable Package (<tt>vcredist_x86.exe</tt>)]
+** AviSynth+: 8-bit [[planar]] RGB/YUV is supported.
 <br>
 == Filters ==
@@ Line 568: / Line 569: @@
 == Changelog ==
   Version      Date            Changes<br>
   v0.5         2011/08/11      - [https://web.archive.org/web/20130714152112/http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile Fix Quantile bug]
   v0.5         2009/01/27      - RankRepair added and documentation update.

@@ Line 568: / Line 568: @@
 == Changelog ==
   Version      Date            Changes<br>
-  v0.5         2011/08/11      - [http://videoprocessing.fr.yuku.com/sreply/743/Unexpected-buggy-garbage-results-from-Quantile Fix Quantile bug]
+  v0.5         2011/08/11      - [https://web.archive.org/web/20130714152112/http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile Fix Quantile bug]
   v0.5         2009/01/27      - RankRepair added and documentation update.
   v0.4         2007/12/18      - SmartMedian2 added and documentation update.
@@ Line 596: / Line 596: @@
 == External Links ==
-*[http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile VideoProcessing Forum] - RemoveGrainHD v0.5 bugfix
+*[https://web.archive.org/web/20120706100049/http://www.removegrainhd.de.tf/ www.removegrainhd.de.tf] - official documentation page (archived).
-*[http://videoprocessing.fr.yuku.com/topic/105/RemoveGrainHD-05-released VideoProcessing Forum] - RemoveGrainHD v0.5 released
+*[https://web.archive.org/web/20130714152112/http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile VideoProcessing Forum] - RemoveGrainHD v0.5 bugfix
-*[http://videoprocessing.fr.yuku.com/topic/103/RemoveGrainHD-04-released VideoProcessing Forum] - RemoveGrainHD v0.4 released
+*[https://web.archive.org/web/20140111184201/http://videoprocessing.fr.yuku.com/topic/105/RemoveGrainHD-05-released VideoProcessing Forum] - RemoveGrainHD v0.5 released
-*[http://videoprocessing.fr.yuku.com/topic/100/RemoveGrainHD-03-released VideoProcessing Forum] - RemoveGrainHD v0.3 released
+*<strike>[http://videoprocessing.fr.yuku.com/topic/103/RemoveGrainHD-04-released VideoProcessing Forum] - RemoveGrainHD v0.4 released</strike> - Dead link, not archived.
-*[http://videoprocessing.fr.yuku.com/topic/98/Bug-in-TemporalRemoveGrainHD VideoProcessing Forum] - RemoveGrainHD v0.2 bugfix
+*[https://web.archive.org/web/20141122013821/http://videoprocessing.fr.yuku.com/topic/100/RemoveGrainHD-03-released VideoProcessing Forum] - RemoveGrainHD v0.3 released
-*[http://videoprocessing.fr.yuku.com/topic/92/RemoveGrainHD-01-released VideoProcessing Forum] -  RemoveGrainHD v0.1 released
+*<strike>[http://videoprocessing.fr.yuku.com/topic/98/Bug-in-TemporalRemoveGrainHD VideoProcessing Forum] - RemoveGrainHD v0.2 bugfix</strike> - Dead link, not archived.
 <br>
 <br>
 -----------------------------------------------
 '''Back to [[External_filters#Spatio-Temporal_Denoisers|External Filters]] &larr;'''

@@ Line 579: / Line 579: @@
 == Archived Downloads ==
-{| class="wikitable" border="1"; width="600px"
+{| class="wikitable" border="1"; width="700px"
 |-
 !!width="100px"| Version
@@ Line 586: / Line 586: @@
 |-
 !v0.5
-|[http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
+|[x86]:[http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
-|[http://web.archive.org/web/20150401172125/http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
+--------
 |}
 <br>
 == External Links ==
 *[http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile VideoProcessing Forum] - RemoveGrainHD v0.5 bugfix

@@ Line 1: / Line 1: @@
-{{FilterCat|External_filters|Plugins|Denoisers}}
+{{FilterCat4|External_filters|Plugins|Plugins_x64|Denoisers}}
 {{Filter3
-| {{Author/kassandro}}
+|1={{Author/kassandro}}
-| v0.5
+|2=v0.5
-|[http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
+|3=[x86]
-| Denoisers
+[http://chaosking.de/wp-content/uploads/avsfilters/Denoisers/Spatial_Denoisers/RemoveGrainHD___(0.5_-_2011-08-11).7z RemoveGrainHD___(0.5_-_2011-08-11).7z]
-| [http://www.gnu.org/licenses/gpl-2.0.txt GPLv2]
+-----------
 |6=[http://forum.doom9.org/showthread.php?t=169832 Doom9 Thread]
 }}
@@ Line 14: / Line 17: @@
 <br>
 == Requirements ==
-* AviSynth 2.5.8 or [http://sourceforge.net/projects/avisynth2/ greater]
+* [x86] [[AviSynth+]] or [https://sourceforge.net/projects/avisynth2/ AviSynth 2.6.0]
 * Supported color formats: [[YV12]]
-*[http://www.microsoft.com/en-us/download/details.aspx?id=26999 Microsoft Visual C++ 2010 Redistributable Package (<tt>vcredist_x86.exe</tt>)]
+*[x86 only] [http://www.microsoft.com/en-us/download/details.aspx?id=26999 Microsoft Visual C++ 2010 Redistributable Package (<tt>vcredist_x86.exe</tt>)]
 <br>
 == Filters ==

@@ Line 564: / Line 564: @@
 == Changelog ==
   Version      Date            Changes<br>
-  v0.5         2011/08/11      - [http://videoprocessing.fr.yuku.com/topic/129/Unexpected-buggy-garbage-results-from-Quantile Fix Quantile bug]
+  v0.5         2011/08/11      - [http://videoprocessing.fr.yuku.com/sreply/743/Unexpected-buggy-garbage-results-from-Quantile Fix Quantile bug]
   v0.5         2009/01/27      - RankRepair added and documentation update.
   v0.4         2007/12/18      - SmartMedian2 added and documentation update.
@@ Line 573: / Line 573: @@
   v0.1         2007/08/31      - Initial release
 <br>
 == Archived Downloads ==
 {| class="wikitable" border="1"; width="600px"

← Older revision		Revision as of 00:15, 1 November 2015
Line 69:		Line 69:


−	==SmartMedian==	+	===SmartMedian===
	The filters MedianBlur and Quantile are so poor - at least if the surrounding box is large - because all pixel of the surrounding box have equal influence on the end result and unlike RemoveGrainHD (with suitable rank values) the more distant pixels play a more and more dominant role in the calculation of the median as the box radius increases. SmartMedian tries to resolve this problem by computing the median of a subsample of the surrounding box. restricting the sample, over which the median is taken, to pixels with values sufficiently close to the value of the center pixel. The variables radius, radius_y, yradius_y, xradius_u, yradius_u, xradius_v, yradius_v are used by SmartMedian as well and play the same role as in the other filters of this plugin. However, instead of the various rank variables, the variables pixels, pixels_y, pixels_u, pixels_v are used. These variables describe the size of the subsample. The inheritance rules are the same as for the variables rank, rank_y, rank_u, rank_v in the filter Quantile. Obviously, the size of the subsample must be smaller than the size of the box. Thus pixel_y <= (2radius_y + 1) (2yradius_y + 1), pixel_u <= (2radius_u + 1) * (2yradius_u + 1) and pixel_v <= (2radius_v + 1) * (2yradius_v + 1). Of course these variables must also be positive. If unreasonable values are specified fpr these variables, they are suitably adjusted. To describe the algorithm underlying the SmartMedian filter we restrict ourselves to the Y channel and let A(r) be the pixels from the surrounding box of the center pixel c with distance(p,c) = \|p - c\| <= r (p,c are the pixel values and not the coordinates). In the first step SmartMedian calculates the smallest R>=0 such that the size \|A(R)\| of the subsample A(R) exceeds the value of pixels_y, i.e. \|A(R)\|>= pixels_y. If the pixel c is from an area with unform color, then R=0. If c is a noisy pixel, then R will be quite large, but usually it is quite small, if the value of pixels_y is reasonable. It may very well happen, that \|A(R)\| > pixels_y. If pixel_y = (2radius_y + 1) * (2yradius_y + 1) (the maximal value), then the subsample A(R) is equal to the entire surrounding box. If pixels_y=1 (the minimal value) then R=0 because c ist always contained in A(0). In the second step SmartMedian calculates n-th smallest min(n,R) and the n-th largest pixel max(n,R) of the subsample A(R), where n = pixels_y/2 (with rounding to the upside). Finally c is clipped with respect to min(n,R) and max(n,R), i.e. c is replaced by min(max(n,R), max(min(n,R),c)). If \|A(R)\| = pixles_y then c is indeed replaced by the median of the subsample A(R), otherwise is only approximately the median. Obviously, if R=0 then min(n,R) = c = max(n,R) and c is left unchanged. The default value for pixels_y is 2 min(2radius_y + 1, 2yradius_y + 1), i.e. twice the default value for rank_y in RemoveGrainHD. Again the default value assures that no thin lines or curves through the center c are interrupted by SmartMedian. Compared with RemoveGrainHD the value of pixels_y should be twice the value of rank_y to have a similar preservation of detail. If the default values for rank_y and pixels_y are chosen, then RemoveGrainHD leaves many pixels unchanged, while SmartMedian changes most pixels at least a little. All in all SmartMedian is more aggressive than RemoveGrainHD and should yield better compression. To illuminate the above description, let us look at some concrete cases. There Quantile, RemoveGrainHD and SmartMedian are used with the default values radius_y = yradius_y = 2, rank_y = urank_y = 5, pixels_y = 10 if not specified otherwise.		The filters MedianBlur and Quantile are so poor - at least if the surrounding box is large - because all pixel of the surrounding box have equal influence on the end result and unlike RemoveGrainHD (with suitable rank values) the more distant pixels play a more and more dominant role in the calculation of the median as the box radius increases. SmartMedian tries to resolve this problem by computing the median of a subsample of the surrounding box. restricting the sample, over which the median is taken, to pixels with values sufficiently close to the value of the center pixel. The variables radius, radius_y, yradius_y, xradius_u, yradius_u, xradius_v, yradius_v are used by SmartMedian as well and play the same role as in the other filters of this plugin. However, instead of the various rank variables, the variables pixels, pixels_y, pixels_u, pixels_v are used. These variables describe the size of the subsample. The inheritance rules are the same as for the variables rank, rank_y, rank_u, rank_v in the filter Quantile. Obviously, the size of the subsample must be smaller than the size of the box. Thus pixel_y <= (2radius_y + 1) (2yradius_y + 1), pixel_u <= (2radius_u + 1) * (2yradius_u + 1) and pixel_v <= (2radius_v + 1) * (2yradius_v + 1). Of course these variables must also be positive. If unreasonable values are specified fpr these variables, they are suitably adjusted. To describe the algorithm underlying the SmartMedian filter we restrict ourselves to the Y channel and let A(r) be the pixels from the surrounding box of the center pixel c with distance(p,c) = \|p - c\| <= r (p,c are the pixel values and not the coordinates). In the first step SmartMedian calculates the smallest R>=0 such that the size \|A(R)\| of the subsample A(R) exceeds the value of pixels_y, i.e. \|A(R)\|>= pixels_y. If the pixel c is from an area with unform color, then R=0. If c is a noisy pixel, then R will be quite large, but usually it is quite small, if the value of pixels_y is reasonable. It may very well happen, that \|A(R)\| > pixels_y. If pixel_y = (2radius_y + 1) * (2yradius_y + 1) (the maximal value), then the subsample A(R) is equal to the entire surrounding box. If pixels_y=1 (the minimal value) then R=0 because c ist always contained in A(0). In the second step SmartMedian calculates n-th smallest min(n,R) and the n-th largest pixel max(n,R) of the subsample A(R), where n = pixels_y/2 (with rounding to the upside). Finally c is clipped with respect to min(n,R) and max(n,R), i.e. c is replaced by min(max(n,R), max(min(n,R),c)). If \|A(R)\| = pixles_y then c is indeed replaced by the median of the subsample A(R), otherwise is only approximately the median. Obviously, if R=0 then min(n,R) = c = max(n,R) and c is left unchanged. The default value for pixels_y is 2 min(2radius_y + 1, 2yradius_y + 1), i.e. twice the default value for rank_y in RemoveGrainHD. Again the default value assures that no thin lines or curves through the center c are interrupted by SmartMedian. Compared with RemoveGrainHD the value of pixels_y should be twice the value of rank_y to have a similar preservation of detail. If the default values for rank_y and pixels_y are chosen, then RemoveGrainHD leaves many pixels unchanged, while SmartMedian changes most pixels at least a little. All in all SmartMedian is more aggressive than RemoveGrainHD and should yield better compression. To illuminate the above description, let us look at some concrete cases. There Quantile, RemoveGrainHD and SmartMedian are used with the default values radius_y = yradius_y = 2, rank_y = urank_y = 5, pixels_y = 10 if not specified otherwise.