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COLOR IMAGE QUALITY EVALUATION USING GRAYSCALE METRICS IN CIELAB COLOR SPACE
Image quality evaluationColor imagesFull-Reference metricsSSIMVIFJust Noticeable DifferenceCIELAB
Resumo
In many image applications the measurement of visual
quality is of special importance. Most of the Full-Reference
metrics proposed address the evaluation of grayscale
images. This paper investigates an application of two
grayscale metrics for the evaluation of color images using
CIELAB color space. It also proposes the utilization of an
important feature of this space, the possibility to measure
the distance between colors, to improve the performance of
the metric, i.e. affording a higher correlation between the
objective metric and the subjective measurement. The
results indicate that the use of color distance with a FR
image quality evaluation metric improves its correlation
with the subjective scores.