Exact global motion compensation for holographic video compression
Applied Optics
|December 25, 2019
Summary
This study presents a novel holographic video compression pipeline. It achieves significant improvements over traditional codecs by using motion compensation and optimized quantization for holographic data.
Area of Science:
- Optics and Photonics
- Digital Signal Processing
- Computer Vision
Background:
- Holographic video technology offers immersive experiences but faces challenges with high data rates for storage and transmission.
- Existing compression methods are insufficient for the unique characteristics of holographic video data.
Purpose of the Study:
- To develop an efficient end-to-end compression pipeline specifically for holographic video sequences.
- To address the impractical bitrates associated with uncompressed holographic video.
Main Methods:
- The pipeline utilizes a motion compensation algorithm based on the rotational transformation of an angular spectrum.
- Residual data is processed using short-time Fourier transforms and uniform mid-rise quantizers.
- Bit depth is optimized using a Lagrangian rate-distortion criterion with mean squared error as the distortion metric.
Main Results:
- The proposed compression pipeline demonstrates significant gains, achieving approximately 20 dB Bjøntegaard delta peak signal-to-noise ratio improvement.
- Results show substantial efficiency compared to conventional image and video codecs when applied to computer-generated holographic videos.
Conclusions:
- The developed compression strategy effectively reduces holographic video bitrates while maintaining high quality.
- This approach offers a viable solution for practical storage and transmission of holographic video content.
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