Research on Image Restoration Methods

Yu Bing Dong; Hua Xun Zhang; Ying Sun

doi:10.4028/www.scientific.net/AMM.742.277

Paper Titles

An Integrated Method for XRII Image Distortion Correction
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Facial Expression Recognition Based on Gabor Texture Features and Centre Binary Pattern
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Monitoring Data Filter and Deformation Information Extraction Based on Wavelet Filter and Empirical Mode Decomposition
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New Segmentation Scheme for Low Quality Fingerprint Images
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Research on Image Restoration Methods
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Translation Compensation Based on Cycle Subtracting of Micro-Doppler Curve
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An Object Tracking Method Based on Illumination Compensation
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Monocular Structure from Motion Based on Angular BA
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A Genenral Feistal Structure Based Color Image Encryption Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742Research on Image Restoration Methods

Research on Image Restoration Methods

Abstract:

In the paper, degradation and restoration model is introduced. Image restoration method using inverse filtering and using wiener filtering are studied and implemented. A new method of image restoration is proposed by combining histogram equalization and median filtering. Comparing three methods by MATLAB simulation, the results show that the new method can effectively restore degradation image with comparatively high restoration efficiency.

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Periodical:

Applied Mechanics and Materials (Volume 742)

Pages:

277-280

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.742.277

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Online since:

March 2015

Authors:

Yu Bing Dong*, Hua Xun Zhang, Ying Sun

Keywords:

Image Restoration, Inverse Filtering, Median Filtering, Wiener Filtering

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* - Corresponding Author

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