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Updated: Jul 7, 2026
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Compression of the layered depth image.
1Signal Process. Group, Microsoft Res., Redmond, WA 98052, USA.
Summary
This study introduces a new compression algorithm for layered depth images (LDIs), improving data efficiency for complex 3D object rendering. The novel method significantly enhances compression performance over existing tools.
Area of Science:
- Computer Vision
- Image Processing
- Computer Graphics
Background:
- Layered Depth Images (LDIs) are increasingly popular for representing and rendering objects with complex geometries.
- LDIs extend 2D images by incorporating depth information and multiple layers per pixel.
- Efficient compression of LDI data is crucial for practical applications.
Purpose of the Study:
- To develop a novel compression algorithm specifically designed for Layered Depth Images (LDIs).
- To address the challenges of handling multiple layers and depth coding within LDI pixels.
- To improve the compression performance of LDIs compared to existing standards.
Main Methods:
- The algorithm records the number of LDI layers per pixel.
- Color and depth components of the LDI are compressed separately.
- Sparse pixel data within LDI layers is aggregated before encoding.
- An empirical rate-distortion model is employed for optimal bit allocation across components.
Main Results:
- The proposed LDI compression algorithm effectively handles multi-layered pixel data and depth information.
- Separate compression of color and depth components, along with data aggregation for sparse layers, yields efficiency gains.
- The algorithm demonstrates significant improvements in compression performance compared to JPEG-2000 and MPEG-4.
Conclusions:
- The developed LDI compression algorithm offers superior performance for layered depth image data.
- This novel approach provides a more efficient method for storing and transmitting complex 3D representations.
- The findings suggest a new benchmark for LDI compression technologies.
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