JOURNAL ARTICLE

Arbitrarily-shaped wavelet packets for zerotree coding

Abstract

In order to satisfy the needs of new multimedia applications, the problem of content-based video coding has to be addressed. A new approach of object interior coding is proposed. It is based on an arbitrarily-shaped subband transform followed by a generalized embedded zerotree wavelet algorithm. It is shown that the proposed technique achieves good compression results and has additional properties such as being computationally efficient, keeping the same dimensionality in the transformed domain, being perfect reconstruction, and allowing a perfect rate control. In addition a lossless mode can be defined by using an appropriate filter bank.

Keywords:
Lossless compression Computer science Wavelet Wavelet packet decomposition Data compression Algorithm Wavelet transform Network packet Coding (social sciences) Filter bank Artificial intelligence Computer vision Filter (signal processing) Mathematics

Metrics

7
Cited By
0.68
FWCI (Field Weighted Citation Impact)
7
Refs
0.72
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing

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