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PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting

Abstract: 

Many signal processing methods break the target signal into overlapping patches, process them separately, and then stitch them back to produce an output. How to merge the resulting patches at the overlaps is central to such methods. We propose a novel framework for this type of problem based on the idea that estimated patches should coincide at the overlaps (consensus), and develop an algorithm for solving the general problem. In particular, an efficient method for projecting patches onto the consensus constraint is presented. Finally, a simple and effective audio/image/video inpainting algorithm is developed using this framework.

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Paper Details

Authors:
Ignacio Ramirez, Ignacio Hounie
Submitted On:
14 May 2020 - 10:07am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Ignacio Ramirez
Paper Code:
1731
Document Year:
2020
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[1] Ignacio Ramirez, Ignacio Hounie, "PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5300. Accessed: Dec. 03, 2020.
@article{5300-20,
url = {http://sigport.org/5300},
author = {Ignacio Ramirez; Ignacio Hounie },
publisher = {IEEE SigPort},
title = {PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting},
year = {2020} }
TY - EJOUR
T1 - PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting
AU - Ignacio Ramirez; Ignacio Hounie
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5300
ER -
Ignacio Ramirez, Ignacio Hounie. (2020). PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting. IEEE SigPort. http://sigport.org/5300
Ignacio Ramirez, Ignacio Hounie, 2020. PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting. Available at: http://sigport.org/5300.
Ignacio Ramirez, Ignacio Hounie. (2020). "PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting." Web.
1. Ignacio Ramirez, Ignacio Hounie. PACO and PCO-DCT: Patch Consensus and Its Application To Inpainting [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5300