From e7a2d369241c8b1f6dcf689aee8b017e82b2f6a0 Mon Sep 17 00:00:00 2001
From: Hobe <Hobe@5747cdd2-2146-426f-b2b0-0570f90b98ed>
Date: Thu, 4 Jun 2020 02:01:31 +0000
Subject: [PATCH] git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@68
 5747cdd2-2146-426f-b2b0-0570f90b98ed

---
 trunk/RTCSA_SS/02Background.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/trunk/RTCSA_SS/02Background.tex b/trunk/RTCSA_SS/02Background.tex
index f066f09..908e761 100644
--- a/trunk/RTCSA_SS/02Background.tex
+++ b/trunk/RTCSA_SS/02Background.tex
@@ -4,8 +4,8 @@
 This section describes background of Super-resolution technique, and the sensors
 we are using in this work.
 
-\subsection{Background}
-\paragraph{Super-Resolution Convolutional Neural Network}
+%\subsection{Background}
+\subsection{Super-Resolution Convolutional Neural Network}
 
 C. Dong et al.~\cite{ChaoDong16} proposed a deep learning method for single image
 super-resolution (SR). Their method learns how to directly map the low-resolution