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Single Image Interpolation Exploiting Semi-local Similarity

Abstract: 

This paper explores the modeling and exploitation of semi-local similarity in natural images to address the ill-posed nature of image interpolation. Our approach distinguishes itself from prior approaches by direct and careful use of semi-local similar patches to interpolate each individual patch. Our work uses a simple, parallelizable algorithm without the need to solve complicated optimization problems. Experimental results demonstrate that our interpolated images achieve significantly higher objective and subjective quality compared with those from state-of-the-art algorithms.

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Paper Details

Authors:
Submitted On:
16 May 2019 - 8:32pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Lantao Yu
Paper Code:
IVMSP-L5.1
Document Year:
2019
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Single Image Interpolation Exploiting Semi-local Similarity.pdf

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[1] , "Single Image Interpolation Exploiting Semi-local Similarity", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4542. Accessed: May. 23, 2019.
@article{4542-19,
url = {http://sigport.org/4542},
author = { },
publisher = {IEEE SigPort},
title = {Single Image Interpolation Exploiting Semi-local Similarity},
year = {2019} }
TY - EJOUR
T1 - Single Image Interpolation Exploiting Semi-local Similarity
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4542
ER -
. (2019). Single Image Interpolation Exploiting Semi-local Similarity. IEEE SigPort. http://sigport.org/4542
, 2019. Single Image Interpolation Exploiting Semi-local Similarity. Available at: http://sigport.org/4542.
. (2019). "Single Image Interpolation Exploiting Semi-local Similarity." Web.
1. . Single Image Interpolation Exploiting Semi-local Similarity [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4542