New adaptive filter and quality evaluation index for image restoration

Antonio R. Jiménez; Ramon Ceres; Jose L Pons

doi:10.1016/S0031-3203(00)00006-6

New adaptive filter and quality evaluation index for image restoration

Antonio R. Jiménez^*, Ramon Ceres, Jose L Pons

^*Corresponding author for this work

Physical Medicine and Rehabilitation

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

3 Scopus citations

Abstract

This paper presents a new technique for image adaptive restoration called 3σ-multiresolution plane fitting (3σ-MPF) and the global restoration index (GRI) index, which evaluates the restoration performance of smoothing methods. The 3σ-MPF filter is based on an adaptive plane fitting technique using variable-sized windows with different behavior for continuous regions or discontinuities. The criteria used to select the window size and detect discontinuities is the 3σ-fidelity test. The GRI, integrates two independent indices measuring restoration smoothness and fidelity. Using this index, the 3σ-MPF filter performance is compared with other traditional methods, demonstrating better performance under Gaussian noise and robustness against outliers.

Original language	English (US)
Pages (from-to)	457-467
Number of pages	11
Journal	Pattern Recognition
Volume	34
Issue number	2
DOIs	https://doi.org/10.1016/S0031-3203(00)00006-6
State	Published - Feb 2001

Funding

The authors acknowledge the financial support of the Spanish Commission for Science and Technology (CICYT) under the TAP-583/93 and TAP-398/96 projects. Special thanks to Prof. John Illingworth for the advice and facilities supplied at the CVSSP centre (Surrey University-UK) where part of this work was done.

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/S0031-3203(00)00006-6

Cite this

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title = "New adaptive filter and quality evaluation index for image restoration",

abstract = "This paper presents a new technique for image adaptive restoration called 3σ-multiresolution plane fitting (3σ-MPF) and the global restoration index (GRI) index, which evaluates the restoration performance of smoothing methods. The 3σ-MPF filter is based on an adaptive plane fitting technique using variable-sized windows with different behavior for continuous regions or discontinuities. The criteria used to select the window size and detect discontinuities is the 3σ-fidelity test. The GRI, integrates two independent indices measuring restoration smoothness and fidelity. Using this index, the 3σ-MPF filter performance is compared with other traditional methods, demonstrating better performance under Gaussian noise and robustness against outliers.",

author = "Jim{\'e}nez, \{Antonio R.\} and Ramon Ceres and Pons, \{Jose L\}",

note = "Funding Information: The authors acknowledge the financial support of the Spanish Commission for Science and Technology (CICYT) under the TAP-583/93 and TAP-398/96 projects. Special thanks to Prof. John Illingworth for the advice and facilities supplied at the CVSSP centre (Surrey University-UK) where part of this work was done. ",

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AU - Ceres, Ramon

AU - Pons, Jose L

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PY - 2001/2

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N2 - This paper presents a new technique for image adaptive restoration called 3σ-multiresolution plane fitting (3σ-MPF) and the global restoration index (GRI) index, which evaluates the restoration performance of smoothing methods. The 3σ-MPF filter is based on an adaptive plane fitting technique using variable-sized windows with different behavior for continuous regions or discontinuities. The criteria used to select the window size and detect discontinuities is the 3σ-fidelity test. The GRI, integrates two independent indices measuring restoration smoothness and fidelity. Using this index, the 3σ-MPF filter performance is compared with other traditional methods, demonstrating better performance under Gaussian noise and robustness against outliers.

AB - This paper presents a new technique for image adaptive restoration called 3σ-multiresolution plane fitting (3σ-MPF) and the global restoration index (GRI) index, which evaluates the restoration performance of smoothing methods. The 3σ-MPF filter is based on an adaptive plane fitting technique using variable-sized windows with different behavior for continuous regions or discontinuities. The criteria used to select the window size and detect discontinuities is the 3σ-fidelity test. The GRI, integrates two independent indices measuring restoration smoothness and fidelity. Using this index, the 3σ-MPF filter performance is compared with other traditional methods, demonstrating better performance under Gaussian noise and robustness against outliers.

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New adaptive filter and quality evaluation index for image restoration

Abstract

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ASJC Scopus subject areas

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