Wiener Filter Based on the Image to Blur

Chao Da Chen; Si Qing Zhang; Chui Xin Chen

doi:10.4028/www.scientific.net/AMR.591-593.1567

Paper Titles

A S-Shape Curve Speed Control Algorithm of Continuous Micro-Lines Interpolation Based on Adjustable Feed-Speed
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Stabilization Analysis of Switched Affine System Applied to Dc-Dc Converters
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Pre-Estimating Dynamically the Optimum of Extremum Value Control System with Large Time Delay Element Based on Correlation Identification
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Optimal Control of a Nuclear Reactor in Load Follow Based on LQG/LTR
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Wiener Filter Based on the Image to Blur
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Radiation Resistance Experiments of Image Sensor and Acoustic Sensor
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Pseudo Two-Hop Distributed Consensus Algorithm with Link Failure
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Design of Grid Connected Parallel Inverters with Interleaved Phase Shift by Using CAN Bus
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Design on Parameters of Power Circuit of AC Servo System
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 591-593Wiener Filter Based on the Image to Blur

Wiener Filter Based on the Image to Blur

Abstract:

Image restoration, refers to the removal or loss in the process of getting digital image degradation of the image quality, image restoration technology is the key to meet the requirements of the point spread function, degradation model is an ill-posed integral equations, in the frequency domain, when H ( U, V ) less or equal to zero, the noise will be amplified, the degraded image and interference in H ( U, V ) value of the spectrum will be small to restore the image influence. In view of the point spread function put forward Wiener filtering algorithm, the noise lead to ill-posed integral with specified signal-to-noise ratio to reduce image restoration effects, through the IPT toolbox for fuzzy image restoration, image quality to achieve the anticipated effect.

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Periodical:

Advanced Materials Research (Volumes 591-593)

Pages:

1567-1570

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.591-593.1567

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Online since:

November 2012

Authors:

Chao Da Chen, Si Qing Zhang, Chui Xin Chen

Keywords:

Autocorrelation Function, Deconvolution, Image Restoration, PSF

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References

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