New Image Processing Methodology for Noisy-Blurred Images

Jeon, Woo-Sang; Han, Kun-Hee

doi:10.5762/kais.2010.11.3.965

Journal of the Korea Academia-Industrial cooperation Society

2010

DOI: 10.5762/kais.2010.11.3.965

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New Image Processing Methodology for Noisy-Blurred Images

Woo-Sang Jeon¹,

Kun-Hee Han²

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2010

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Image Processing Considering Directional Extraction by Multi-Resolution Signal Analysis.

Jeon¹,

Kim²,

Han³

2010

Journal of the Korea Academia-Industrial cooperation Society

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To restore image degraded by motion blur and additive noise, In conventional method, regularization is usually applied to all over the image without considering the local characteristics of image. As a result, ringing artifacts appear in edge regions and the noise amplification is introduced in flat regions. To solve this problem we propose an adaptive regularization iterative restoration using wavelet directional considering edges and the regularization operator with no direction for flat regions. We verified that the proposed method showed results in the suppression of the noise amplification in flat regions, and introduced less ringing artifacts in edge regions.

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Image Processing Considering Directional Extraction by Multi-Resolution Signal Analysis.

Jeon¹,

Kim²,

Han³

2010

Journal of the Korea Academia-Industrial cooperation Society

View full text Add to dashboard Cite

show abstract

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New Image Processing Methodology for Noisy-Blurred Images

Cited by 1 publication

References 6 publications

Image Processing Considering Directional Extraction by Multi-Resolution Signal Analysis.

Image Processing Considering Directional Extraction by Multi-Resolution Signal Analysis.

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