Optimal pr-qmf design for subband image coding

H. Caglar; Y. Liu; A. N. Akansu

doi:10.1006/jvci.1993.1022

Optimal pr-qmf design for subband image coding

H. Caglar, Y. Liu, A. N. Akansu

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

A multivariable optimization problem is set to design 2-band PR-QMFs. The energy compaction, aliasing energy, unit step response, zero-mean high-pass filter, uncorrelated subband signals, constrained nonlinearity of the phase-response, and the given input statistics are simultaneously considered in the proposed optimal filter design technique. A set of optimal PR-QMF solutions and the optimization criteria along with their objective performance is given for comparison. This PR-QMF design approach leads to an input driven adaptive subband filter bank structure. It is shown that the optimal filters objectively outperform the well known fixed PR-QMFs in the literature. The proposed PR-QMF design technique provides the mathematical tools for subjective performance improvements in subband image and video coding applications.

Original language	English (US)
Pages (from-to)	242-253
Number of pages	12
Journal	Journal of Visual Communication and Image Representation
Volume	4
Issue number	3
DOIs	https://doi.org/10.1006/jvci.1993.1022
State	Published - Sep 1993

All Science Journal Classification (ASJC) codes

Signal Processing
Media Technology
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1006/jvci.1993.1022

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abstract = "A multivariable optimization problem is set to design 2-band PR-QMFs. The energy compaction, aliasing energy, unit step response, zero-mean high-pass filter, uncorrelated subband signals, constrained nonlinearity of the phase-response, and the given input statistics are simultaneously considered in the proposed optimal filter design technique. A set of optimal PR-QMF solutions and the optimization criteria along with their objective performance is given for comparison. This PR-QMF design approach leads to an input driven adaptive subband filter bank structure. It is shown that the optimal filters objectively outperform the well known fixed PR-QMFs in the literature. The proposed PR-QMF design technique provides the mathematical tools for subjective performance improvements in subband image and video coding applications.",

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AU - Liu, Y.

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N2 - A multivariable optimization problem is set to design 2-band PR-QMFs. The energy compaction, aliasing energy, unit step response, zero-mean high-pass filter, uncorrelated subband signals, constrained nonlinearity of the phase-response, and the given input statistics are simultaneously considered in the proposed optimal filter design technique. A set of optimal PR-QMF solutions and the optimization criteria along with their objective performance is given for comparison. This PR-QMF design approach leads to an input driven adaptive subband filter bank structure. It is shown that the optimal filters objectively outperform the well known fixed PR-QMFs in the literature. The proposed PR-QMF design technique provides the mathematical tools for subjective performance improvements in subband image and video coding applications.

AB - A multivariable optimization problem is set to design 2-band PR-QMFs. The energy compaction, aliasing energy, unit step response, zero-mean high-pass filter, uncorrelated subband signals, constrained nonlinearity of the phase-response, and the given input statistics are simultaneously considered in the proposed optimal filter design technique. A set of optimal PR-QMF solutions and the optimization criteria along with their objective performance is given for comparison. This PR-QMF design approach leads to an input driven adaptive subband filter bank structure. It is shown that the optimal filters objectively outperform the well known fixed PR-QMFs in the literature. The proposed PR-QMF design technique provides the mathematical tools for subjective performance improvements in subband image and video coding applications.

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Optimal pr-qmf design for subband image coding

Abstract

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