Abstract
The objective of image reproduction is, as used here, to reproduce
visual information that is available in the original image. Undoubtedly,
the colors of the individual pixels contain a huge amount of visual
information and therefore the quality of the image reproduction is
typically
studied in terms of the quality of the color reproduction determined for
each image pixel. It is, however, true that not only the colors of the
individual pixels but also the spatial structures formed by the color
fluctuations across the image are very important sources of visual
information.
Because only minor errors in the color reproduction may cause
significant errors in or even vanishing of the spatial structures of an
image, they both—the reproduction of the color and the reproduction of
the spatial structures—have to be analyzed to determine the quality of
the
image reproduction. There are commonly accepted methods for the quality
analysis of color reproduction. A quality analysis for the reproduction
of the structures is developed in this study. Three metrics, selected on
the basis of the monocular sources of visual information, are used to
describe
the spatial structures of the original and the reproduced images. The
metrics—the edge contrast, the size of detail and the evenness
contrast—are analyzed by using the methods of binary and gray
morphology. The use of the metrics in the quality analysis of the image
reproduction
is illustrated by computer simulations.
Original language | English |
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Pages (from-to) | 61-67 |
Journal | Journal of Imaging Science and Technology |
Volume | 44 |
Issue number | 1 |
Publication status | Published - 2000 |
MoE publication type | A1 Journal article-refereed |