Multi-view image restoration from plenoptic raw images

Shan Xu, Zhi Liang Zhou, Nicholas Devaney

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

7 Citations (Scopus)

Abstract

We present a reconstruction algorithm that can restore the captured 4D light field from a portable plenoptic camera without the need for calibration images. An efficient and robust estimator is proposed to accurately detect the centers of microlens images. Based on that estimator, parameters that model the centers of microlens array images are obtained by solving a global optimization problem. To further enhance the quality of reconstructed multi-view images, a novel 4D demosaicing algorithm based on kernel regression is also proposed. Our experimental results show that it outperforms state of the art algorithms.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2014 Workshops, Revised Selected Papers
EditorsC.V. Jawahar, Shiguang Shan
PublisherSpringer-Verlag
Pages3-15
Number of pages13
ISBN (Print)9783319166308
DOIs
Publication statusPublished - 2015
Event12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore
Duration: 1 Nov 20142 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9009
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th Asian Conference on Computer Vision, ACCV 2014
Country/TerritorySingapore
CitySingapore
Period1/11/142/11/14

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