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(c1) The original image patch.
Figure 11 Image patch selector behavior example.
Section 3 presents our approach to local image patch classification.
Figure 13 Image patch classification examples at TEER.
Figure 5 Synthetic image patch showing shortcomings of NMI.
Then our sampling method is executed in each connected image patch.
But there is no accurate information about orientation or scale in the image patch.
We propose a judgment for matching points on the image patch boundary.
Recent works in SR deal with single images and apply machine learning or regression mechanisms to associate an LR image patch to an HR image patch counterpart.
The first term is the reconstruction error of the original image patch.
However, their approach cannot provide accurate detection results for small image patch.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com