Enhancing Angular Resolution using Layers Obtained from Light Field Superpixel Segmentation

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Abstract

In order to alleviate the inherent trade-off relation between spatial and angular resolutions of light field (LF) images, many experiments have been carried out to enhance the angular resolution of LFs by creating novel views. In this paper, we investigate a method to enhance the angular resolution of LF image by first grouping the pixels within and across the multiple views into LF superpixels using existing LF segmentation method, then generating novel views by shifting and overlaying the layers containing the LF superpixels having similar per-view disparity values. Experimental results with synthetic and real-scene datasets show that our method achieves good quality of reconstruction.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2022
EditorsMasayuki Nakajima, Shogo Muramatsu, Jae-Gon Kim, Jing-Ming Guo, Qian Kemao
PublisherSPIE
ISBN (Electronic)9781510653313
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Workshop on Advanced Imaging Technology, IWAIT 2022 - Hong Kong, China
Duration: 4 Jan 20226 Jan 2022

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12177
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2022 International Workshop on Advanced Imaging Technology, IWAIT 2022
Country/TerritoryChina
CityHong Kong
Period4/01/226/01/22

Keywords

  • disparity
  • Light field
  • superpixel segmentation
  • view synthesis

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