Short update on averaging fighting a plasma TV.
I selected the best and the worst of the 10 frames used for averaging. It seems that every plasma TV has got its own finger-print...
Let's have a look:
 |
best frame |
|
|
 |
worst frame |
 |
average of 10 frames |
 |
... using the (old) dark frame |
 |
... dark frame and cut "low" pixels |
This shows, as long as the local noise is regular enough, one can either simply ignore it, or fight it with simple measures. I think, I could do better on the dark frame story, however, I still lack pure TV signal to create my "plasma frame".
UPDATE
6 frames stacked (no dark frame), positive QRSS identification of "SGT" despite the plasma TV... more to learn. I should make my dark frame soon.
 |
positive identification of SGT |