On Sat, 22 May 2004, Dan Scholnik wrote:
> So, to sum up, I was just speculating that the extra 3% came not from
> removing y4mdenoise artifacts, but from the slightly heavier effective
> spatial filtering resulting from two calls to y4mspatialfilter. To find
> out for sure, run the 2 y4mspatial
On Sat, 2004-05-22 at 01:56, Steven M. Schultz wrote:
> On Sat, 22 May 2004, Dan Scholnik wrote:
>
> > > > You might even try running y4mspatialfilter before and after y4mdenoise
> > > > in case the latter introduces any high-frequency artifacts.
>
> > You probably would get the same 3% by runnin
On Sat, 22 May 2004, Dan Scholnik wrote:
> > > You might even try running y4mspatialfilter before and after y4mdenoise
> > > in case the latter introduces any high-frequency artifacts.
> You probably would get the same 3% by running y4mspatialfilter twice in
> a row before y4mdenoise, or by slig
On Sat, 2004-05-22 at 00:50, Steven M. Schultz wrote:
> On Mon, 10 May 2004, Dan Scholnik wrote:
>
> > You might even try running y4mspatialfilter before and after y4mdenoise
> > in case the latter introduces any high-frequency artifacts.
>
> Ok - this I have done. On the particular video
On Mon, 10 May 2004, Dan Scholnik wrote:
> You might even try running y4mspatialfilter before and after y4mdenoise
> in case the latter introduces any high-frequency artifacts.
Ok - this I have done. On the particular video being used (capture
from a VHS tape) using a 2nd y4mspa
On Mon, 10 May 2004, Dan Scholnik wrote:
> Out of curiosity, how did you settle on all these different filter
> lengths?
No specific reason - seemed like something to try, and perhaps
speed things up slightly.
> You might even try running y4mspatialfilter before and af
On Mon, 2004-05-10 at 01:31, Steven M. Schultz wrote:
> Adding spatial filtering first (and 0.75 is fairly generous/high
> for VHS source material) with y4mspatialfilter -L 4,0.75,3,0.75
> first followed by y4mdenoise -t 4. The command sequence becomes:
>
> -snip-
Howdy -
I'd been experimenting with the new denoiser for a while now but with
what apparently was very clean material and so did not gain an
appreciation for the quality improvement that S. Boswell's new
(y4mdenoise) program can provide. Then I remembered the data
