The purple cast

No Problem

No Problem

Easily rectified with an hour or so of skilled Photoshopping. :rolleyes:


Actually, a nice, but sad, example. Thanks for showing it.
 
auto wb. everything looks good except for the purple people eaters.
 
Jorge Torralba said:
This was shot today at the Downtown Greek deli in Portland. The 2 purple shirts you see are actually black which is the uniform color.
Are you being serious??? The waiters ears look purple!!!!
Major flaw:(
Kiu
 
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Jorge, what color was the cook's hat? It looks black. Seems odd that certain blacks would look purple.
 
willie_901 said:
Easily rectified with an hour or so of skilled Photoshopping. :rolleyes:


Actually, a nice, but sad, example. Thanks for showing it.


An hour per frame. So if you shot a wedding and had to produce an album you would have maybe 200 photos to edit from where the groom's tux needed correction. So for one wedding you'd have a month's (assuming 50 hours a week) work in photoshop that couldn't be batch processed. So if you bought an M8 you could shoot one wedding a month. That doesn't sound so easy.....:bang:
 
buy yourself a nice MP with a scanner and you''l have a full frame 40 Mp "digi"!. And the money you save buy a canon G7 or something like that.
 
There is an easy fix. Just use photoshop to select all the purple /magenta objects, and do localised color correction or desaturate and turn to greyscale. Seems simple enough to me. Portra 160 never does this so I`ll stick to it.

Why we don`t have do do this with Canon/Nikons/DMR I do not understand.
 
This is what $5000 should have bought you.

5 min in PSE 2 . 2 more would have got it perfect.

I`m still staying with Portra
 

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Ronald M said:
There is an easy fix. Just use photoshop to select all the purple /magenta objects, and do localised color correction or desaturate and turn to greyscale. Seems simple enough to me.
Also, each time you take a photo, make a note of any objects in the shot that really are purple or magenta. Then, refer to your notes when implementing the "easy fix."

Alternatively, simply tape a consumer digicam to your M8 and make a record shot with it each time. Refer to the record shots when implementing the "easy fix."
 
Hi Ronald,

the octopus should be purple.

I think the problem with this is that it can be confusing which purples were originally purple and which of them were black and have to be corrected. So the often-quoted wedding photos might be difficult to fix in Photoshop if the groom happens to wear a purple tie. Or if ten guests arrived in purple desses and another ten dressed in black, and of the ones dressed in black five wear synthetic and another five natural cloth. Of course this is a bit of a borderline case, but the main problem why people are freaking out is that the resulting behaviour appears somewhat erratic.

Apart from the usual problem with overhyped products: if your expectations are X, and the product delivers only X-1, then your disappointment is 1, but if your expectations are 10X, then your disappointment is 9X+1, which is nine times more than the product delivers. So in hyping a product you almost guarantee you're going to be disappointed big time.

Philipp
 
Ronald M said:
This is what $5000 should have bought you.

5 min in PSE 2 . 2 more would have got it perfect.

I`m still staying with Portra
I still see purple subjects flowing around are these real purple subject or errors ? (we'll never know)
 
Okay: Here is my first post of a shot. The shirt I am wearing is navy blue and is cotton, not synthetic.

WB is set to tungsten.


Not a happy camper.
 

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"Leica: Making you see the world through rose-coloured glasses." :(
 
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willie_901 said:
Easily rectified with an hour or so of skilled Photoshopping. :rolleyes:


Actually, a nice, but sad, example. Thanks for showing it.

About 20 seconds correcting in Nikon Capture NX....
 
Ronald M said:
This is what $5000 should have bought you.

5 min in PSE 2 . 2 more would have got it perfect.

I`m still staying with Portra

That octopus has purple fringing...:D
 
Really.. the only purple cast any of us should be seeing if the sensor could get it right is this purple cast:

cast.jpg


:D

Dave
 
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