Joe Bloggs
Sponsor: HiByMember of the Trade: EFO Technologies Co, YanYin TechnologyHis Porta Corda walked the Green Mile
I get that you're trying to illustrate a point here, but I don't see how the second picture is "fake". As far as I can see, the first picture doesn't even cover the whole gamut with its histogram, and even the foilage in the second picture is a featureless mush. And its histogram isn't cliped either, so I don't know about any information being thrown away Even the jpg file size is larger...
Unfortunately, histograms don't work like FR graphs. It shows what was captured by the camera in the photo. You can easily overexpose or adjust the digital processing to hit a wider color representation. Whereas a FR graph would more show what could be captured by the camera. The equivalent would be those gamut graphs that show the full gamut and then what each standard (eg Adobe RGB 1998 or sRGB) or device (eg Canon 5D MKIII) can display or use or capture.
So there are a few points here to consider:
1. Digital color is an additive medium, so you start with red green blue and you combine them to approach white because you are combining light. Whereas say acrylic paint (physical color if you will) is a subtractive medium, adding colors moves toward black.
2. Given point 1, if you have a digital photo that is dark and you tweak it with software to "brighten" it, the software literally needs to "add color" to attain what is closer to white. What this translates to is additional instructions in the file for the monitor to use more of it's color light(s) to display lighter colors. That would account for the increased filesize. Unless it's just a white canvas, which is likely a simplified more efficient instruction.
3. Natural scenes (ie real life) don't necessarily have to cover the whole color gamut or all values. Take for example a dark red card on an almost black background. Your histogram of a true to life photo will accurately show the a red bump on the left side of the histogram and no information on the right because there just isn't that level of light intensity in the scene. So what James was getting at and I alluded to before is that his first image is more true to life based on his being able to see the scene personally than the second image which he artificially edited for sharpness and contrast and brightness. He could have also overexposed the shot to get a potentially more even histogram but that wouldn't be accurate.
Translating it to sonic terms, nature is the musician, James's eyes are the producer and the first image shows what headphones or earphones James used to create the final mix that he felt best represented what the musician played would best recreate.
I think that last part is mostly accurate...
The thing is, an LCD covers only about 9 stops of dynamic range while most cameras now cover more than that--and the human eye covers up to 14 stops of DR, so representing most scenes with a realistic level of contrast requires tone mapping of some sort.
The closest analogue to tone mapping in audio would be multiband compression... :tongue_smile:
Without tone mapping
With tone mapping
I wrote the Photoshop script for this tone mapping algorithm myself
I must say, I am used to having my photos much more punchy than anything james posted :blink: His "processed" shot looks flatter than my "unprocessed" shot, which is output straight from ACR with more conservative settings than default--and even from default settings you're expected to punch up the photos yourself... :blink:
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