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Blown reds!
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Mar 4, 2017 14:34:29   #
Jim-Pops Loc: Granbury, Texas
 
When someone says Blown Out Area to me I take it a s an area where the detail is missing and unrecoverable. In your shot here if you reduce the exposure a half stop .5 the red feather areas people are pointing out become well defined. Also your reds become a bit darker red in the process. If you go further you can change the Hue and/or Luminance orange sliders to get the red to just about anything you might be looking for.

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Mar 5, 2017 13:55:09   #
canon Lee
 
jradose wrote:
I shoot with the D610. I am having a time trying to take photos of cardinals without blowing out the red colors. Here is a photo, shot in raw, but taken right out of the camera with zero post processing, except for the fact that I did crop for a better perspective. I used my Nikkor 200-50 mm lens, i/400 sec, f5.6, focal length 500 mm, ISO 1250, aperture priority, spot metering (I metered off the green pine background). As you can see, the picture seems to be on decent focus and exposure, but the reds are totally blown. What am I doing wrong?
I shoot with the D610. I am having a time trying t... (show quote)


You need to post edit the reds. If you use LR, use the WB slider, (after you have adjusted white and black levels), to finalize the reds. Using the WB slider towards the "blue" side will take the color saturation out of the image. I have found that my Canon 7D tends to over saturate the reds, even though I shoot with the color space as sRGB.

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Mar 5, 2017 14:05:25   #
canon Lee
 
Apaflo wrote:
That analysis is unfortunately based on technical error. It is impossible to judge absolute brightness levels by eye. Our eyes just can't do that. We can put two tones next to each other and judge them relative to each other, but we can't tell what the absolute brightness actually is. That has to be measured.

Below are two images showing a threshold view of a cropped section, from the originally posted image, showing the bird. The first has a threshold of 255, which means everything that is white is clipping and detail cannot be recovered from the posted JPEG. The last image has a threshold of 245, and it shows what is "blown" in that particular image. Values between 245 and 255 can be made more visible by proper editing, but when viewed as posted those values are washed out to a degree that hides all detail.

The image posted is "overexposed", and most of that blown area is actually being clipped and cannot be recovered from the post image. The RAW file may or may not be the same, but we don't have it.
That analysis is unfortunately based on technical ... (show quote)


HOWEVER; most would see the reds as blown out. My solution is simple, in that I use a calibrated monitor and my final adjustment in LR, is the WB, with the slider to the blue side. It would be simple to just use "OPT" click on highlights. (MAC)

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Mar 5, 2017 19:22:18   #
Erdos2 Loc: Vancouver, WA
 
Apaflo wrote:
Shame on folks telling you the reds are not blown, because you are absolutely correct that they are. See the histogram attached below. Clearly the red channel is climbing the wall on the right. Also it is very obvious when looking at an enlarged view of the posted image that while not all of the red area is blown, there is a fairly wide area around the head that has no texture at all.



I find this forum to be very educational, so I try to learn from the examples given and the comments made regarding them. I am having trouble reproducing the histogram mentioned (and posted). While I am cheap and using freeware, (Lightzone, Faststone, and Irfanview), none of these show a histogram that has a spike on the right side for any of the colors (indicating blown pixels),including red. They all seem to show detail in the areas you mention. For example, in Lightzone, I can zoom in to the pixel level and use a sampler tool to see the RGB values. I cannot find a place where the values do not vary from pixel to pixel. If these areas are truly blown for a particular color (Red), would they not be equal value from pixel to pixel for that color? For example, if side by side pixels were 255, then even if the program backed off, would they not all be some other slightly lower value? Are these other programs making up data variations? In each of the programs, I crop to just the bird, then look at the histogram for that area, doing nothing else. Any explanation why I cannot see what you see might be helpful.

Jerry

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Mar 6, 2017 20:29:16   #
10MPlayer Loc: California
 
To my eye you have a nicely composed picture a soft background and well framed subject. I've posted before about struggling with reds. I believe the answer is to underexpose on the red object 1/3 or 2/3 stops and adjust the rest of the frame in post processing. From what I understand of the technical aspects of it, sensors are more sensitive to red than other colors so you need to adjust for that reality accordingly.

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