KEYWORDS: RGB color model, Cameras, High dynamic range imaging, Color imaging, Roentgenium, Image processing, Light sources and illumination, Lighting standards, Mathematical modeling, 3D modeling
In this paper, we put forward a new method of multiple exposures high dynamic range color imaging
with a RGB camera based on a piecewise color characterization model. The construction of the piecewise color characterization
model, and the method of images capturing, the color tone mapping and the images combination based on this
piecewise color characterization model were introduced. By using an ordinary color camera NikonD70s, we demonstrate
our new method can obtain desired high dynamic range images with standard color information.
KEYWORDS: Color difference, LCDs, Single crystal X-ray diffraction, Visualization, Decision support systems, LED displays, Color reproduction, CIE 1931 color space, Data centers, Tolerancing
Using small color difference data sets (Macadam ellipses dataset and RIT-DuPont suprathreshold color difference
ellipses dataset), and large color difference data sets (Munsell Renovation Data and OSA Uniform Color Scales dataset),
the uniformity of several color spaces and performance of color difference formulae based on these color spaces are
evaluated. The color spaces used are CIELAB, DIN99d, IPT, and CIECAM02-UCS. It is found that the uniformity of
lightness is better than saturation and hue. Overall, for all these color spaces, the uniformity in the blue area is inferior to
the other area. The uniformity of CIECAM02-UCS is superior to the other color spaces for the whole color-difference
range from small to large. The uniformity of CIELAB and IPT for the large color difference data sets is better than it for
the small color difference data sets, but the DIN99d is opposite. Two common performance factors (PF/3 and STRESS)
and the statistical F-test are calculated to test the performance of color difference formula. The results show that the
performance of color difference formulae based on these four color spaces is consistent with the uniformity of these
color spaces.
Using conventional camera to capture natural scenes with high dynamic range generally results in saturation as well as
underexposure, because of their limited dynamic range. And moreover, the image of conventional RGB camera with
RGB color filter lacks color accuracy. We present a promising solution - a high dynamic range multispectral camera
placing a Liquid Crystal Tunable Filter (LCTF) between lens and gray level imaging sensor. For each bands, gray level
images with different exposures are acquired separately and are combined into a multispectral high dynamic range image
afterwards. The high dynamic range multispectral image has higher color accuracy and greater dynamic range than the
images of the traditional RGB camera.
An eight-channel imaging spectrometer based on narrowband multi-spectral imaging technology is presented. After
acquiring eight images in real time, the spectrometer is used to process images, and finally the color image of object is
compounded. Focus is on the methods of image registration and spectral construction. The experiment indicates that
point mapping and cubic spline interpolation are effective, and the color composition image is close to the real one. The
system has the advantages of high spatial resolution, strong real-time character, hence it can be widely used in the field
of moving target recognition.
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