Evaluation Of Image Restoration Filters For Machine Classification

D. C. Lai; J. Potenza; K. Verfaille

doi:10.1117/12.7973385

1 December 1984 Evaluation Of Image Restoration Filters For Machine Classification

D. C. Lai, J. Potenza, K. Verfaille

Author Affiliations +

Optical Engineering, Vol. 23, Issue 6, 236794 (December 1984). https://doi.org/10.1117/12.7973385

Abstract

Image restoration filters are known to improve the subjective quality of a picture. However, it is not evident that the filters would facilitate further machine processing such as machine classification. In this paper, several image restoration filters are evaluated and compared based on their perfor-mances in machine classification under various blur and noise conditions to assess their usefulness for automatic classification. An experiment has been specifically designed and conducted for this purpose. Appropriate performance measures are derived. The results show that, under certain combinations of blur and noise conditions, the filters do improve machine classification.

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D. C. Lai, J. Potenza, and K. Verfaille "Evaluation Of Image Restoration Filters For Machine Classification," Optical Engineering 23(6), 236794 (1 December 1984). https://doi.org/10.1117/12.7973385

Published: 1 December 1984

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