Big Ben's Panorama Tutorials

Dynamic Range

Recording Results

Before I go any further I should point out that this test is only going to produce a theoretical result.  Since I am testing film, the dynamic range that I will be calculating will be much higher than any figure normally quoted for film because very small changes will be detected. At some point these changes will become irrelevant to the appearance of the image but since this is a subjective judgement I'm going to leave it at the calculated value for now.  I'll return to the subjective arguments later.

To counter tonal compression in highlights and shadows, the contrast of each image should be adjusted to cover the full range. This will accentuate any change between the grey rectangle and the background. Once there is no difference between the two, both will become a homogenous area of noise.

The scanned images converted to 8-bit greyscale without any optimisation. Since film scanners are designed to scan transparency film, it had no trouble scanning the entire density range of the negative film. I could have normalised the results (minimum pixel value was 84) to exaggerate the differences but this would not have made any difference to subjective comparisons, so I have left the data in its original state. 

Here are my test results:

Settings

Film Fuji Reala
ISO 100
Processing PRISM Colour
   
Scanner Nikon Coolscan
Colour Management    Use Nikon Colour Management
Colour Model Scanner RGB
Autoexposure OFF
Digital ICE OFF
Bit Depth 12 bits/pixel
Multi-sampling 4

Scanned Images

Exposure 1/8000 @ f8 1/4000 @ f8 1/2000 @ f8 1/1000 @ f8 1/500 @ f8
Raw
image
Adjusted
image

Exposure 1/250 @ f8
(metered exposure)
1/125 @ f8 1/60 @ f8 1/30 @ f8 1/15 @ f8
Raw
image
Adjusted
image

Exposure 1/8 @ f8 1/4 @ f8 1/2 @ f8 1" @ f8 2" @ f8
Raw image
Adjusted image

Exposure 4" @ f8 8" @ f8 15" @ f8 30" @ f8 30" @ f5.6
Raw image
Adjusted image

Exposure 30" @ f4  
Raw image
Adjusted image

Measurements

Mean Pixel Values

Relative EV 1 2 3 4 5 6 7 8 9 10 11
Black 84.87 85.11 85.56 87.28 93.16 108.25 135.32 162.49 185.92 205.99 221.41
Grey 85.28 86.51 89.92 100.62 123.66 151.91 176.72 198.00 214.60 229.28 238.31
White 89.44 98.09 113.68 139.17 166.48 190.66 208.88 224.29 235.44 242.20 245.96

 
Relative EV 12 13 14 15 16 17 18 19 20 21
Black 233.13 240.33 244.60 247.15 248.74 249.54 250.07 250.60 250.95 251.11
Grey 243.53 246.53 248.57 249.63 250.20 250.46 250.84 251.16 251.37 251.51
White 248.31 249.60 250.32 250.73 251.00 251.13 251.33 251.47 251.53 251.59

Differences in Mean Pixel Values

Relative EV 1 2 3 4 5 6 7 8 9 10 11
Grey - Black 0.41 1.40 4.36 13.34 30.50 43.66 41.40 35.51 28.68 23.29 16.90
White - Grey 4.16 11.58 23.76 38.55 42.82 38.75 32.16 26.29 20.84 12.92 7.65
White - Black 4.57 12.98 28.12 51.89 73.32 82.41 73.56 61.80 49.52 36.21 24.55

 
Relative EV 12 13 14 15 16 17 18 19 20 21
Grey - Black 10.4 6.2 3.97 2.48 1.46 0.92 0.77 0.56 0.42 0.40
White - Grey 4.78 3.07 1.75 1.10 0.80 0.67 0.49 0.31 0.16 0.08
White - Black 15.18 9.27 5.72 3.58 2.26 1.59 1.26 0.87 0.58 0.48

Graphical

Graphs of pixel value vs. exposure value and change in pixel value vs exposure value.

So what does it all mean, and what else can we tell about the image tonality? Read on....

 


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This page, its contents and style, are the responsibility of the author and do not represent the views, policies or opinions of The University of Melbourne. All photographs © Ben Kreunen 2000

Ben Kreunen <bernardk@unimelb.edu.au>
Department of Pathology
Last modified: February 24, 2003