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Fuji Finepix F30
I have been waiting
for a high quality pocketable digicam for several years. Apparently
I still need to wait something like 10 year so I bought the Finepix
F30 in the mean time, after all it has been so highly acclaimed. However,
I did my homework thoroughly, comparing sample pictures from various
digicams, so I knew what to expect. Also the sensor dimensions told
the same, this digicam should be able to produce acceptable image quality
as ISO 100. That is an improvement over the competitors that
generally are 1 f/stop worse, with the native sensitivity at ISO 50
only.
The first ISO
sensitivity test
The below animation
rotates from ISO 100 to ISO 3200, by 2 second steps. It shows very honestly
the true quality that can be had from the F30. The true quality can
not be visually examined from the unedited digicam images because the
tonal range is intentionally set to be incorrect. This is an easy way
for the digicam manufacturers to hide the poor quality and high noise.
The images have been color-managed by custom made ICC profile and they
are crops that are show at 2x magnification, upsampling was done using
the nearest neighbor resampling method of Photoshop. Pay attention e.g.
to the tyre pattern of the front wheel.

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The Dynamic
Range
There are
many ways how the dynamic range of digital cameras are being specified
and evaluated, naturally giving much different readings. It is
important to understand that dynamic range results can be compared
only when the measurement method and the evaluation criteria are
exactly the same and that usable dynamic range is not the same
as the technical dynamic range.
The sensor
and digicam manufacturers do not take the photon-shot-noise (Poisson
noise) into account at all. Even if this is the one of the most
detrimental source of image noise (speckle). Poisson noise is
the property of light so in that sense one could consider it admissible
to simply remove if from the equations. However the the sensors
parameters (the size of the active photon collecting area of the
individual "pixels" and the quantum efficiency) plays
a major role in regards how the Poisson noise affects to the image
quality.
Evaluation
of the Finepix F30 Dynamic Range
I used
Stouffer's
calibrated 41-step density wedge T4110C,
it was placed on a light table (that has 5000K fluorescent tubes
that are driven at high frequency), the rest of the light table
surface was covered and the room was darkened, not dimmed but
fully darkened without any light, except what passed the Stouffer
target. The calibration documentation (by Stouffer) of the target
is shown on the right. The aim value for the steps of this target
is 0.1D, so three steps approximately equals 1 f/stop.
The
unedited F30 shot (ISO == 100) of the step wedge target is here.
In this imaging situation the F30 does not provide enough freedom
to adjust the exposure in such way that the most luminous patches
would not overexpose. So in this shot the steps 1 to 7 of the
wedge are overexposed. However this does not affect to the dynamic
range evaluation at all, since the target still has enough range
to cover the whole dynamic range of the F30. But for normal pictures
this is somewhat an alarming finding.
Evaluation
of the zero point at the light end
I have used
a very simple, but still very accurate, method in evaluating the
dynamic range, simply using Photoshop. Because the target steps
have know densities there is no need to apply color-management,
what only needs to be evaluated is the range of steps that got
registered by the digicam.
The limit
of the dynamic range at the light end is very easy to assess from
a step wedge, it is the first step that is properly exposed (not
overexposed). In this shot it is the step 8, it will be the relative
zero point for the calculations. Or if you want to split the hair,
then the average of the steps 7 and 8.
The below
image shows that arrangement in Photoshop for searching the most
light step that is not overexposed (not clipped). Note that the
green channel is being used, another way would be to convert the
image to grayscale first. There is no significant difference between
these.
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Evaluation
of the light end from the target using Photoshop, on step 8.
Note that
the Mean and StDev values that the Histogram tool provides could
be used to calculated the Signal to Noise ratio but
not from an unedited digicam image, the image data
must be linear for such calculation (S/N == Mean/StDev) to be
correct.
The criteria
for the dark end of the range is much more interesting. If you'd
run this shot through a dedicated software that is designed to
evaluate the dynamic range mathematically then very likely it
would claim that the dynamic range does extend down to the patch
41 because that is where the mathematical Signal to Noise ratio
of 1:1 approximately is in this shot. But let's take visual a
look at that region at the dark end:

The
dark end of the target boosted visible using the Levels command.
Shown at 100% zoom.
Does not look very nice, but the mathematical S/N ratio of
1:1 really appears to be at about step 41. This is so of course
only because of the noise reduction that is applied by the
digicam.
In fact it is possible to discern the left end of the film
(or the edge of the back frame that holds the film).
In case we
do accept the image quality at the step 41 (3.97D), then the dynamic
range of the F30 would be:
Log2(10^(3.97-0.75))
== 10.7 f/stops. (The relative white is at step 8 == 0.75D)
But for me,
the image quality at S/N = 1:1 is not useful at all, so some other
criteria than the mathematical S/N = 1:1 has to be used. This
then leads to the discussion about usefuldynamic
range. And further to the discussion about the very nature of
usefulness, what is not useful for someone could easily be very
useful for somebody else.
But if a
specification is laid out then at least the evaluation will be
repeatable and comparable. One such specification is resolution
bandwidth. Not spatial resolution but detection resolution on
the tonal curve. With this particular Stouffer step wedge a resolution
of 0.1D is smallest possible criteria that can be used. Verbally
this criteria could be formulated as: At what step in the dark
end of the range the digicam is still able to resolve a 0.1D step
(or 1/3 EV). This kind of specification quite fairy takes the
strength of the noise reduction into account also. And is very
easy to evaluate using Photoshop.
Preparation
of resolution bandwidth evaluation with Photoshop
- The image
data has to be boosted up quite strongly using the Levels command
(using the right input slider), so that the Histogram tool is
able to show the result accurately.
- In case
of 8-bit/c image data, Gaussian Burr == 1.0 has to be applied,
this helps in evaluating the Histogram and does not significantly
affect to the the result.
- A two
region selection has to be created, both regions must have same
pixel size. The two regions must map over the adjacent steps,
but not on any of the the borders. Note
that the border between the adjacent steps are very visible
in all step wedges, this is (mainly) an imperfection of the
target itself. So, with step wedges, never draw any conclusions
based on the visual separation.
- With the
selection active, move it towards the dark end, step by step,
searching those two steps that give a histogram that shows two
peaks and a valley in between the two peaks that is about half
the height of the average height of the the two peaks.
- The darker
of these two patches sets the limit for the 0.1D resolution
bandwidth. If you inspect even more dark patch-pairs you will
notice that the histogram only shows one peak, meaning that
the 0.1D difference can not anymore be resolved.

Illustration
of the 0.1D resolution bandwidth evaluation with Photoshop
From this
shot the 0.1D resolution bandwidth limit appears at the step 30
(2.97D). Since the reference white is at step 8 (0.75) then the
Dynamic Range where 0.1D can be resolved by the F30 is:
Log2(10^(2.97-0.75))
== 7.4 f/stops.
My feeling
indeed is that the F30 seems to perform about 2 stops worse
than my D60 that gives about 9.5 f/stops in this same test.
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Accurate
Image Manipulation for Desktop Publishing
Copyright
Timo Autiokari, 2007. Contact info
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