A Research on the Optimization of Fuzzy Image

Xue Feng Wu; Yu Fan

doi:10.4028/www.scientific.net/AMM.409-410.1593

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 409-410A Research on the Optimization of Fuzzy Image

A Research on the Optimization of Fuzzy Image

Abstract:

The restore algorithm of the image blurred by motion is proposed, and a mathematical model based on motion blur system is eomtrueted£®The Point spread function of the motion blur is given According to the characteristics of blurred images the parameters of point spread function are estimated ,and three methods are introduced for image restoration. The three methods are inverse filtering of image restoration, Lucy-Richardson image restoration and Wiener image restoration. The principles of the three image restoration methods are analyzed. The motion blurred image restoration experiment is made. The results show that the visibility of the image is improved, and the image restoration is more stable.

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Periodical:

Applied Mechanics and Materials (Volumes 409-410)

Pages:

1593-1596

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.409-410.1593

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Online since:

September 2013

Authors:

Xue Feng Wu, Yu Fan

Keywords:

Fuzzy Image, Inverse Filtering, Point Spread Function, Restore Algorithm

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