A Novel MRF Model for Structure Preservation in SAR Image Despeckling

Song Heng; Wang Shi-xi; Ji Ke-feng; Yu Wen-xian

doi:10.3724/SP.J.1146.2007.01645

Volume 31 Issue 3

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(3): 745-748

Song Heng, Wang Shi-xi, Ji Ke-feng, Yu Wen-xian. A Novel MRF Model for Structure Preservation in SAR Image Despeckling[J]. Journal of Electronics & Information Technology, 2009, 31(3): 745-748. doi: 10.3724/SP.J.1146.2007.01645

Citation:

Song Heng, Wang Shi-xi, Ji Ke-feng, Yu Wen-xian. A Novel MRF Model for Structure Preservation in SAR Image Despeckling[J]. Journal of Electronics & Information Technology, 2009, 31(3): 745-748. doi: 10.3724/SP.J.1146.2007.01645

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A Novel MRF Model for Structure Preservation in SAR Image Despeckling

doi: 10.3724/SP.J.1146.2007.01645

Received Date: 2007-10-17
Rev Recd Date: 2008-04-07
Publish Date: 2009-03-19

Abstract

Abstract

A novel MRF model called SPMRF (Structure Preserving MRF) is proposed for Bayesian despeckling of SAR images. In SPMRF every pixel within a neighborhood is associated with a weighting parameter which determines its contribution to the central pixels despeckling. And a temperature variable is introduced into SPMRF to control the weighting parameters estimating process which makes the model match with images local characteristics better. Experiments show as a prior model SPMRF can retain image structures efficiently with despeckling progressing.

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References(1)

References

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