Blind Image Blur Identification in Cepstrum Domain
The type and extent of blur affect image quality and therefore its evaluation. This paper presents an accurate method for blur identification and parameter estimation from one image without a priori knowledge. The key idea of the proposed method is to perform Fourier transform of logarithm spectrum...
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| Published in | 2007 16th International Conference on Computer Communications and Networks pp. 1166 - 1171 |
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| Main Authors | , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.08.2007
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| Subjects | |
| Online Access | Get full text |
| ISBN | 9781424412501 1424412501 |
| ISSN | 1095-2055 |
| DOI | 10.1109/ICCCN.2007.4317977 |
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| Abstract | The type and extent of blur affect image quality and therefore its evaluation. This paper presents an accurate method for blur identification and parameter estimation from one image without a priori knowledge. The key idea of the proposed method is to perform Fourier transform of logarithm spectrum to detect the periodic blur pattern in cepstrum domain instead of spectral nulls. Accordingly, the estimation of blur parameters is more accurate and robust to noise. The experimental results validate the accuracy of the proposed method. |
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| AbstractList | The type and extent of blur affect image quality and therefore its evaluation. This paper presents an accurate method for blur identification and parameter estimation from one image without a priori knowledge. The key idea of the proposed method is to perform Fourier transform of logarithm spectrum to detect the periodic blur pattern in cepstrum domain instead of spectral nulls. Accordingly, the estimation of blur parameters is more accurate and robust to noise. The experimental results validate the accuracy of the proposed method. |
| Author | Weisi Lin Ee Ping Ong Zhongkang Lu Shiqian Wu |
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| Snippet | The type and extent of blur affect image quality and therefore its evaluation. This paper presents an accurate method for blur identification and parameter... |
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| SubjectTerms | Additive noise Autoregressive processes blur identificationt blur pattern Cepstrum Convolution Degradation Fourier transforms Image processing Image quality Noise robustness Parameter estimation |
| Title | Blind Image Blur Identification in Cepstrum Domain |
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