1,204 research outputs found
Non-blind Image Restoration Based on Convolutional Neural Network
Blind image restoration processors based on convolutional neural network
(CNN) are intensively researched because of their high performance. However,
they are too sensitive to the perturbation of the degradation model. They
easily fail to restore the image whose degradation model is slightly different
from the trained degradation model. In this paper, we propose a non-blind
CNN-based image restoration processor, aiming to be robust against a
perturbation of the degradation model compared to the blind restoration
processor. Experimental comparisons demonstrate that the proposed non-blind
CNN-based image restoration processor can robustly restore images compared to
existing blind CNN-based image restoration processors.Comment: Accepted by IEEE 7th Global Conference on Consumer Electronics, 201
Surface density of states and topological edge states in non-centrosymmetric superconductors
We study Andreev bound state (ABS) and surface density of state (SDOS) of
non-centrosymmetric superconductor where spin-singlet -wave pairing mixes
with spin-triplet (or -wave one by spin-orbit coupling. For -wave pairing, ABS appears as a zero energy state. The present ABS is a
Majorana edge mode preserving the time reversal symmetry. We calculate
topological invariant number and discuss the relevance to a single Majorana
edge mode. In the presence of the Majorana edge mode, the SDOS depends strongly
on the direction of the Zeeman field.Comment: 10 pages, 15 figure
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