مشروع البحث: A CONVOLUTIONAL NEURAL NETWORK FOR MOTION-BASED MULTIFRAME SUPER-RESOLUTION USING FUSION OF INTERPOLATED FRAMES
تحميل...
المساهمين
الممولين
رقم التعريف
1340
الباحث
حامد الهادي فرج الورفلي
الوصف
we present a novel motion-based multiframe image super-resolution (SR) algorithm
using a convolutional neural network (CNN) that fuses multiple interpolated input
frames to produce an SR output. We refer to the proposed CNN and associated preprocessing
as the Fusion of Interpolated Frames Network (FIFNET). We believe this is the
first such CNN approach in the literature to perform motion-based multiframe SR by fusing
multiple input frames in a single network. We study the FIFNET using translational
interframe motion with both fixed and random frame shifts.
الكلمات الدالة
INTERPOLATED FRAMES