A Spatial-Focal Error Concealment Scheme for Corrupted Focal Stack Video

Kejun Wu, Yi Wang, Wenyang Liu, Kim Hui Yap, Lap Pui Chau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


Focal stack image sequences can be regarded as successive frames of videos, which are densely captured by focusing on a stack of focal planes. This type of data is able to provide focus cues for display technologies. Before the displays on the user side, focal stack video is possibly corrupted during compression, storage and transmission chains, generating error frames on the decoder side. The error regions are difficult to be recovered due to the focal changes among frames. Conventional error concealment methods result in sharpness inconsistency between recovered regions and their spatial adjacent regions. Motivated by this, in this paper, we propose a spatial-focal error concealment scheme specialized for focal stack videos. The spatial adjacent regions around an error region are employed to reveal the prediction relations between error frame and focal adjacent frames. Gaussian blur filtering and Lucy-Richardson deblur filtering are applied to simulate the video focal changes. In this way, the error regions can be well recovered by exploiting the spatial-focal information. Experiment results show that the proposed scheme can achieve the highest objective quality in terms of PSNR and SSIM. It can also obtain the best subjective quality with sharpness consistency in recovered regions and without block effect.

Original languageEnglish
Title of host publicationProceedings - DCC 2023
Subtitle of host publication2023 Data Compression Conference
EditorsAli Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages10
ISBN (Electronic)9798350347951
Publication statusPublished - May 2023
Event2023 Data Compression Conference, DCC 2023 - Snowbird, United States
Duration: 21 Mar 202324 Mar 2023

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314


Conference2023 Data Compression Conference, DCC 2023
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Networks and Communications


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