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Related Experiment Video

Updated: Jul 7, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Adaptive wavelet packet basis selection for zerotree image coding.

Nasir M Rajpoot¹, Roland G Wilson, François G Meyer

¹Department of Computer Science, University ofWarwick, Coventry CV4 7AL, UK. nasir@dcs.warwick.ac.uk

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

|February 5, 2008

Summary

This study introduces a novel adaptive wavelet zerotree image coder. It achieves state-of-the-art performance with low computational complexity and progressive image encoding capabilities.

Related Experiment Videos

Last Updated: Jul 7, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Area of Science:

Computer Science
Signal Processing
Image Processing

Background:

Adaptive wavelet transforms and zerotree quantization are successful image coding techniques.
Existing methods may lack flexibility in wavelet packet geometry or computational efficiency.

Purpose of the Study:

To present a general zerotree structure applicable to arbitrary wavelet packet geometries.
To develop an efficient adaptive wavelet zerotree image coder with competitive performance.

Main Methods:

A general zerotree structure for adaptive wavelet packet image coding was developed.
A fast basis selection algorithm utilizing Markov chain cost estimation was implemented.
The proposed coder was evaluated for performance and complexity.

Main Results:

The adaptive wavelet zerotree image coder demonstrates low computational complexity.
Performance is comparable to current state-of-the-art image coders.
The coder supports progressive image encoding.

Conclusions:

The proposed general zerotree structure is effective for adaptive wavelet packet image coding.
The developed algorithm offers an efficient and high-performing solution for image compression.
Progressive encoding capability enhances the coder's utility.