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Optimized and iterative wiener filter for image restoration
Published in Institute of Electrical and Electronics Engineers (IEEE)
2009
Abstract
Two new techniques were suggested in this research. The first one is for optimizing image restoration with Wiener filter by suggesting an efficient method for estimating an optimum value for the signal to noise ratio parameter used in Wiener filter restoration formula. The estimated value is different for each segment in frequency domain. Estimation depends on the degraded image only, without any prior knowledge about noise level in the degraded image. The second technique uses the above optimized Wiener filter iteratively to reduce the artifacts that normally appears in the restored image. Restoration using these techniques shows very good results for different degraded images. © 2009 IEEE.
About the journal
JournalData powered by Typeset2009 6th International Symposium on Mechatronics and its Applications, ISMA 2009
PublisherData powered by TypesetInstitute of Electrical and Electronics Engineers (IEEE)
Open AccessNo
Concepts (10)
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    Wiener filter
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    Image restoration
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    Degradation
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    Optimization methods
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    Signal to noise ratio
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    Signal restoration
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    Frequency estimation
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    Image segmentation
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    Frequency domain analysis
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    Noise level