But when you correct the colours, you're going to add any noise that correcting the colours makes. It matters not whether you do it or I do it, but at least when I do it I know it's an accurate...
Type: Posts; User: Graeme Nattress
But when you correct the colours, you're going to add any noise that correcting the colours makes. It matters not whether you do it or I do it, but at least when I do it I know it's an accurate...
CameraRGB colours are straight off the sensor with no correction, hence they're not accurate. You could be correcting for this elsewhere in your workflow, or you may just like the look of inaccurate...
REDLogFilm is your best grading starting point for sure. I'd say REDColor3, in general is the best starting point for colour, and sometimes REDColor2 may be preferential if you prefer something a tad...
I'd say that's personal preference.
Graeme
Make sure you take RED camera to the RED planet.
Graeme
If you want a great NAS, there's much better products than Drobo. I use Synology and they serve (no pun intended) me well. For direct attach storage, you have so many superb options these days too.
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Take a high resolution image and box-filter downsample it. If you know such effects are correctable then you just have to show it.....
Graeme
A perfect sensor matters not - it still has to obey sampling theory. You will still get aliases that are not post-correctable.
Graeme
A quick googling shows up Foveon aliasing examples like this: http://www.modelmayhem.com/po.php?thread_id=755781&page=3
"That's perfectly natural, not a problem to me and overcomable by software...
Wayne, I'm not sure what you're not understanding about sampling theory. Having 100% fill doesn't make the limits of sampling theory magically go away, and you will still get aliases. Take a look at...
Each and every part of the imaging system has an effect on MTF - lens, OLPF, sensor. MTFs are multiplicative, which means at best they can only pass through the MTF of the previous part of the...
It will alias because all sampled systems alias if fed too high a frequency content. And as many people have seen luma aliasing issues on Foveon sensors, reality fits with sampling theory. Fill...
The problem with aliasing is the "fold back" / "mirror" nature of the frequency distribution of the artifact induced. This means that high frequencies can lead to low frequency artifacts, and...
Absolutely David. Whereas a bit of moire can be problematic in a still, you can theoretically go in by hand in Photoshop and carefully deal with it. Such fixes are nigh-on impossible in motion. I've...
The OLPF provides for IR filtering and protects the sensor. It's not the kind of thing you want to be changing on a regular basis. The best approach is the one we take - a good OLPF that removes the...
It's not the size of the screen that matters but the field of view....
Graeme
Antony, that's impossible for me to say without actually testing.
Graeme
With Dragon, most of the color science changes are physical with the chip, so you can't trickle them down, just upgrade them up.
Graeme
IR has changed too. The changes are physical so although there could very well be new colour spaces and gamma options to reflect the increased dynamic range and colorimetry of the Dragon, they'll be...
With respect to colour matching, yes, the Dragon matches with previous RED cameras, but with the warning that where the Dragon portrays colour more accurately, there will be differences. The...
As Jarred says: "The Color Science and sensor calibration with a sensor with this much latitude is substantially more difficult to get perfect.. and we didn't have it complete in time to shoot...
Recommended reading:
http://tech.ebu.ch/circles-of-confusion
Facts, figures, tables and math:
http://www.amazon.com/gp/product/0471399183/ref=ox_ya_os_product...
We don't see banding in the raw R3D data (be that from a red one, MX, Epic or monochrome), and as low noise / wide dynamic range cameras you have to be very careful not to do anything that will...
No doubt perfect for taking pictures of Lirpa Loofs.
Graeme
http://www.luminous-landscape.com
Graeme