Am Mittwoch, 5. Juli 2006 00:03 schrieb stefan:
> Steven M. Schultz schrieb:
> > I'm on vacation at the moment and a lengthy discussion is not possible
> > (about to wander out and do some sight seeing) but my suggestion 
> > is omit the  deinterlace step
> >   
> 
> clearly depends on what he tries to do... I (at least) prefer good
> deinterlaced material to interlaced material as I can not tell the
> difference on TV-screen (but I can on a progressive display! so
> deinterlaced it works for both...) BTW I do record progressive only,
> now... *g*
> 
Hmmm... Please excuse my dumb question. Here are you puzzling me a little bit. 
My model of thinking with respect to interlacing/deinterlacing is as follows:
- If the material is tv life (say a football match with very fast motion) then 
I think that is is a good idea to let the material interlaced because of the 
"kammeffekt" (Sorry, I don't know the correct english word).
- If the source is a movie, then it depends. If I have recorded with lavrec 
from my bt787, I have 422 subsampling. So there is no loss in the vertical 
direction. The critical thing happens if I use my Canopus to digitize to dv 
which has 420 subsampling. If I would deinterlace in that case, the vertical 
chroma resolution becomes wrong. Am I wrong here?
BTW. Sometimes I have the feeling that the fields are shifted by one frame in 
the dv capturing. Can this happen?

A completely different question. Recently, I encoded a very old (15 years) and 
often used commercial VHS tape for my archive. It had an unusual high noise 
level. Playing around with the different denoiser settings my test audience 
had a very strange view: The best impression made the noisy tape because of 
its "sharpness"! When using yuvdenoise (without any tuning) the picture was 
considered blurred, unsharp, unviewable. This seems to be a psychological 
question: Better noisy than unsharp.

Do you have an idea about a good compromise? It should allow for low bit rate 
encoding, too.

In the literature about denoising methods, I found edge sharpening denoising 
methods based on anisotropic diffusion equations. For me as a mathematician 
this approach looks very sound. Does somebody have experiences with such 
methods?

Thank you.

Michael

Using Tomcat but need to do more? Need to support web services, security?
Get stuff done quickly with pre-integrated technology to make your job easier
Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo
http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642
_______________________________________________
Mjpeg-users mailing list
Mjpeg-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/mjpeg-users

Reply via email to