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@ -9,8 +9,8 @@ we are using in this work. |
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C. Dong et al.~\cite{ChaoDong16} proposed a deep learning method for single image |
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C. Dong et al.~\cite{ChaoDong16} proposed a deep learning method for single image |
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super-resolution (SR). Their method learns how to directly map the low-resolution |
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super-resolution (SR). Their method learns how to directly map the low-resolution |
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image to high-resolution image. They show that the traditional sparse coding |
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based SR methods can be reformulated into a deep convolutional neural network. |
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image to high-resolution image. They show that the traditional |
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SR methods can be reformulated into a deep convolutional neural network. |
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SRCNN consists three operations. |
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SRCNN consists three operations. |
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The first layer of SRCNN model extracts the patches from low-resolution image. |
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The first layer of SRCNN model extracts the patches from low-resolution image. |
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The second layer maps the patches from low-resolution to high-resolution. The |
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The second layer maps the patches from low-resolution to high-resolution. The |
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@ -27,10 +27,8 @@ patches. |
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\subsection{Thermal cameras} |
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\subsection{Thermal cameras} |
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In this work, we use two different resolution thermal cameras to play the role |
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In this work, we use two different resolution thermal cameras to play the role |
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of low-resolution and high-resolution cameras. For low-resolution camera, we use |
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Grid-EYE thermal camera. Grid-EYE is a thermal camera that can output |
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$8 \times 8$ pixels thermal data with $2.5^\circ C$ accuracy and $0.25^\circ C$ |
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resolution at $10$ fps. For the high-resolution one, we use Lepton 3. The |
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of low-resolution and high-resolution cameras. We use |
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Grid-EYE thermal camera.and Lepton 3 as our two different inputs. The |
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specification of them are shown in Table~\ref{table:specificationofdevices}. |
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specification of them are shown in Table~\ref{table:specificationofdevices}. |
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@ -53,10 +51,9 @@ specification of them are shown in Table~\ref{table:specificationofdevices}. |
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\hline |
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\hline |
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Bits per pixel & 12 & 14\\ |
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Bits per pixel & 12 & 14\\ |
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\hline |
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\hline |
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Data Rate & 7.68 kbps & 2.34 mbps\\ |
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\hline |
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\end{tabular} |
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\end{tabular} |
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\caption{Specification of Grid-EYE~\cite{grideye_datasheet} and Lepton 3~\cite{lepton_datasheet}.} |
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\caption{Specification of Grid-EYE and Lepton 3.} |
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%\caption{Specification of Grid-EYE~\cite{grideye_datasheet} and Lepton 3~\cite{lepton_datasheet}.} |
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\label{table:specificationofdevices} |
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\label{table:specificationofdevices} |
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\end{table} |
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\end{table} |
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