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6942
 Prefix

Standard methods for
solving this problem are based on the dynamic range
compression of the plots.
Currently compression procedures are used to
reproduce image details that are situated in the region closed to the saturation matrix photodetector
 Exact

[1]
 Suffix

. So it is necessary to move the point A into the
region of the inflection of light characteristics of the
signal, which produces a brighter light for compressing the amplitude (interval E1–E2, Figure 1a).
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8421
 Prefix

However, when it is necessary
to determine illuminance (brightness) in different
points of the object simultaneously a principally new
approach is needed.
Aspects of cameras range compression are discussed in
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[2]
 Suffix

and [3]. Contrast extension leads to
a «splitting» of quantization levels that appear in
the histogram as a comb. The combined method of
dynamic range controlling by software tools in [4]
is described.
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 Start

8431
 Prefix

However, when it is necessary
to determine illuminance (brightness) in different
points of the object simultaneously a principally new
approach is needed.
Aspects of cameras range compression are discussed in [2] and
 Exact

[3]
 Suffix

. Contrast extension leads to
a «splitting» of quantization levels that appear in
the histogram as a comb. The combined method of
dynamic range controlling by software tools in [4]
is described.
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 Start

8631
 Prefix

Aspects of cameras range compression are discussed in [2] and [3]. Contrast extension leads to
a «splitting» of quantization levels that appear in
the histogram as a comb. The combined method of
dynamic range controlling by software tools in
 Exact

[4]
 Suffix

is described. The method is based on the dynamic
range stretching in dark areas and compression in
the blown highlights area of image. However these
technologies are used only for visual improvement
of images quality and don’t allow determining the
intensity significantly.
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 Start

9112
 Prefix

However these
technologies are used only for visual improvement
of images quality and don’t allow determining the
intensity significantly. They consider the patterns
and effects of visual perceptions such as light and
color adaptation, the contrast and the contours of
fine details etc.
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[5, 6]
 Suffix

.
a
b
c
Figure 1 – Electronic methods of dynamic range compression: a – linear compression with the displacement of
the point of saturation down; b – nonlinear compression
after the inflection point for different contrast; c – options
linear compression with the same contrast
This method is based on repeated digital regarding of extended objects and digital images
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 Start

10182
 Prefix

The problem of determining the illumination at the object is solved by expanding the
dynamic range of optical measurement software.
The method developed in the Scientific Research
Laboratory of optics and electronics instrument
making (Belarusian National Technical University,
Minsk, Belarus)
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[7]
 Suffix

and tested in the Laboratory of
Photonics of the Institute of Optoelectronics and
Microelectronics (Warsaw University of Technology, Warsaw, Poland) allows doing photometric
measurements in real time with the specified characteristics error.
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 Start

10760
 Prefix

The main idea of this method is
to do series of digital images of the same object
and reference samples with different exposures
and process the images in RGB and RAW formats. Format RGB provides the ability to define
intensity in red, green, and blue color channels of
images
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[8]
 Suffix

. There are different technologies of objects multiple registrations with increasing the time
of exposure for creating of HRDI images [9, 10].
But they apply in computer games and design. And
the technology which is described provides an opportunity to obtain quantitative data of photometric
and colorimetric parameters of the object.
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 Start

10898
 Prefix

Format RGB provides the ability to define
intensity in red, green, and blue color channels of
images [8]. There are different technologies of objects multiple registrations with increasing the time
of exposure for creating of HRDI images
 Exact

[9, 10]
 Suffix

.
But they apply in computer games and design. And
the technology which is described provides an opportunity to obtain quantitative data of photometric
and colorimetric parameters of the object.
The experimental research of a digital camera dynamic range
To ensure metrological traceability the sets of
achromatic and chromatic samples were done on
the colorimetric and calibrated
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 Start

20261
 Prefix

The metrological
traceability of measurement results is provided by
reference to the initial samples (called by authors as
a line sources with equal brightness) which are nonpoint sources of light acting as the measures in measurements
 Exact

[2]
 Suffix

. Within each of the line light sources
should vary in brightness with a step depending on
the specific measuring task. Thus we can construct
a set of calibration dependencies for each source
showing the dependence of numerical representation
of intensity values (yaxis) of the color channels from
the exposure H (xaxis) – R(t), G(t), B(t), an example
of which is given
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 Start

20674
 Prefix

Thus we can construct
a set of calibration dependencies for each source
showing the dependence of numerical representation
of intensity values (yaxis) of the color channels from
the exposure H (xaxis) – R(t), G(t), B(t), an example
of which is given in Figure 5
 Exact

[3]
 Suffix

. Further according to mated for each consecutive pairs of sources
for example one line for the one time. The values of
intensities of R, G, B for exposure H pending solid
lines in the figure on the yaxis.
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22289
 Prefix

of linearity of the calibration
characteristics of the measurement method we can
determine on the yaxis conditional point R'n outside
physical dynamic range and carry out the normalization of the intensities of R, G, B, adapting them to
new values, introducing appropriate broadening coefficients directly in a standardized model transformation color spaces RGB→XYZ
 Exact

[4]
 Suffix

:
(2)
(3)
(4)
where X, Y, Z – coordinates of the color space XYZ;
anm – the standardized weighting of intensities R, G,
B, kR, kG, kB – expanding the coefficients calculated
by the formulas [4]:
(5)
The highest value of the digital intensity image
is given in the denominators.
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 Start

22481
 Prefix

of the intensities of R, G, B, adapting them to
new values, introducing appropriate broadening coefficients directly in a standardized model transformation color spaces RGB→XYZ [4]:
(2)
(3)
(4)
where X, Y, Z – coordinates of the color space XYZ;
anm – the standardized weighting of intensities R, G,
B, kR, kG, kB – expanding the coefficients calculated
by the formulas
 Exact

[4]
 Suffix

:
(5)
The highest value of the digital intensity image
is given in the denominators. It is dependant on the
actual digital quantization level, the highest number
is repesented by the 2n where n is the number of bits
used.
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 Start

23981
 Prefix

The nominal level of quantization represent the ellipsoids of
different volumes in threedimensional color spaces,
and the minimum (definitely) uncertainty ellipses is
determined by the MacAdam
 Exact

[5]
 Suffix

. However the constant value of the nominal level of quantization can
be maintained in the RGB color space by the mathematical methods of the increment intensity. There
is a possibility to define the color characteristics of
selfluminous objects and to enter correction factors
for secondary emitters by applying models of chromatic adaptation VonCrease, CIECAM02, Fairchild
and others
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 Start

24382
 Prefix

There
is a possibility to define the color characteristics of
selfluminous objects and to enter correction factors
for secondary emitters by applying models of chromatic adaptation VonCrease, CIECAM02, Fairchild
and others
 Exact

[5, 6]
 Suffix

.
Data conversion must be performed for each
color channel. It should be consider surface properties (reflectance) and parameters of shooting in the
calculations. The Figure 6 explains the essence of the
developed model.
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