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Single Image Interpolation Exploiting Semi-local Similarity

Citation Author(s):
Submitted by:
Lantao Yu
Last updated:
16 May 2019 - 8:32pm
Document Type:
Presentation Slides
Document Year:
2019
Event:
Presenters:
Lantao Yu
Paper Code:
IVMSP-L5.1
 

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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