Novel Projection Schemes for Graph-Based Light Field Coding

Nguyen Gia Bach, Chanh Minh Tran, Tho Nguyen Duc, Tan Phan Xuan, Eiji Kamioka

Research output: Contribution to journalArticlepeer-review

Abstract

In light field compression, graph-based coding is powerful to exploit signal redundancy along irregular shapes and obtains good energy compaction. However, apart from high time complexity to process high dimensional graphs, their graph construction method is highly sensitive to the accuracy of disparity information between viewpoints. In real-world light field or synthetic light field generated by computer software, the use of disparity information for super-rays projection might suffer from inaccuracy due to vignetting effect and large disparity between views in the two types of light fields, respectively. This paper introduces two novel projection schemes resulting in less error in disparity information, in which one projection scheme can also significantly reduce computation time for both encoder and decoder. Experimental results show projection quality of super-pixels across views can be considerably enhanced using the proposals, along with rate-distortion performance when compared against original projection scheme and HEVC-based or JPEG Pleno-based coding approaches.

Original languageEnglish
Article number4948
JournalSensors
Volume22
Issue number13
DOIs
Publication statusPublished - 2022 Jul 1

Keywords

  • compression
  • graph transform
  • light field
  • super-ray projection
  • super-rays

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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