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In order to evaluate the imaging quality of a visible imaging system by measuring the minimum resolvable contrast
(MRC), a novel MRC measurement method is proposed to judge the test patterns at different spatial frequencies and
contrasts so that the right pattern can be identified using a computer instead of human eyes. A MRC measurement system
with two integrating spheres is therefore developed. The two integrating spheres can be used to illuminate either side of
the target and the contrasts of patterns on the target can be changed by controlling the special attenuators near the
entrances of the two integrating spheres. During the judgment human visual properties to the luminance and frequency
are considered, the computer can therefore simulate human eyes better. Experimental results indicate that the errors of
measuring the luminance can be controlled within ..0.3cd/m2, which offers a guaranteed precision for the measurement
of MRC. The MRC values at all the frequencies are less than those by observers. The measurement of MRC is not
influenced by human subjective factors. This method can be used to measure the MRC of a visible imaging system more
accurately and helps to realize the automatic measurement of MRC.
Yuan Zhang,Jingmin Dai, andWenjuan Li
"Measurement of minimum resolvable contrast based on human visual property", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71333V (12 January 2009); https://doi.org/10.1117/12.810628
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Yuan Zhang, Jingmin Dai, Wenjuan Li, "Measurement of minimum resolvable contrast based on human visual property," Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71333V (12 January 2009); https://doi.org/10.1117/12.810628