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Novel Projection Schemes for Graph-Based Light Field Coding.

Nguyen Gia Bach1, Chanh Minh Tran1, Tho Nguyen Duc1

  • 1Graduate School of Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan.

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|July 9, 2022
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Summary
This summary is machine-generated.

This study introduces novel projection schemes for light field compression, improving super-pixel accuracy and reducing errors from disparity information. These methods enhance coding efficiency and reduce computational time for encoders and decoders.

Keywords:
compressiongraph transformlight fieldsuper-ray projectionsuper-rays

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Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Graph-based coding effectively exploits redundancy in light field compression for energy compaction.
  • Current methods are computationally intensive and sensitive to inaccurate disparity information, especially with vignetting or large view disparities.

Purpose of the Study:

  • To introduce novel projection schemes for light field compression.
  • To reduce errors in disparity information and enhance projection quality.
  • To decrease computational complexity for encoders and decoders.

Main Methods:

  • Developed two novel projection schemes for super-rays projection in light field coding.
  • Focused on mitigating errors arising from inaccurate disparity information.
  • Evaluated schemes against HEVC-based and JPEG Pleno-based approaches.

Main Results:

  • Significantly enhanced projection quality of super-pixels across multiple views.
  • Achieved improved rate-distortion performance compared to existing methods.
  • One proposed scheme notably reduced computation time for both encoding and decoding.

Conclusions:

  • The novel projection schemes offer a robust solution for accurate light field compression.
  • These methods address key limitations of current graph-based approaches.
  • The proposals lead to better visual quality and coding efficiency in light field data.