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Related Experiment Video

Updated: May 15, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Scalable coding of depth maps with R-D optimized embedding.

Reji Mathew¹, David Taubman, Pietro Zanuttigh

¹The University of New South Wales, Sydney 2052, Australia. reji@unsw.edu.au

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 22, 2013

Summary

This summary is machine-generated.

This study introduces a new depth map compression method that includes geometric boundary information. The novel approach enhances scalability and embedded representation, outperforming JPEG 2000 in rate-distortion performance at higher bit rates.

Related Experiment Videos

Last Updated: May 15, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

Computer Vision
Image Processing
Data Compression

Background:

Depth map compression is crucial for efficient storage and transmission.
Incorporating discontinuity boundary geometry improves compression performance.
Existing methods may lack optimal scalability or embedded representation.

Purpose of the Study:

To propose a novel depth map compression strategy.
To integrate geometry information for enhanced compression.
To achieve scalability and embedded representation.

Main Methods:

Developed a compression scheme using two image pyramid structures for breakpoints and sub-band samples.
Utilized a breakpoint-adaptive transform.
Implemented a rate-distortion optimization framework for breakpoint determination.
Employed a variation of the EBCOT scheme for embedded bit-stream generation.

Main Results:

The proposed scheme achieves scalability and embedded representation.
Demonstrated substantially improved rate-distortion performance at higher bit rates compared to JPEG 2000.
Achieved comparable performance to JPEG 2000 at lower bit rates.

Conclusions:

The novel compression strategy effectively incorporates depth map geometry.
The method offers superior rate-distortion performance and scalability.
This approach advances depth map compression techniques.