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Fig. 20 An image ontology created for various image concepts Fig. 21 An image ontology created for various image concepts.
Table 2 lists the rank-1 recognition accuracies for various image scales and image sizes.
Nevertheless, proper accounting for various image distortion effects led us to identify such roots.
In many different fields, image quality measurement is important for various image processing tasks.
In this paper, they are combined into an efficient method of designing detectors for various image patterns.
Despite the unsupervised CNN, the proposed learning algorithm allows to use the Widrow-CNN for various image processing applications easily.
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Performance measures are calculated for various images from those values.
Table 4 MSE for various images with Optimum soft MSE, MNDL soft thresholding, BayesShrink, and SureShrink.
The obtained results for various images are compared with manually plotted reference road map.
Figure 15 Image quality of LDR images for various images at 1.5 bppc enhancement layer bit stream.
Figure 23 Bit rate of the enhancement layer for various images at 35 dB LDR image quality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com