Combined wavelet and curvelet denoising of SAR images
BB Saevarsson, JR Sveinsson… - IGARSS 2004. 2004 …, 2004 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) images are corrupted by speckle noise due to random
interference of electromagnetic waves. The speckle degrades the quality of the images and
makes interpretations, analysis and classifications of SAR images harder. Therefore, some
speckle reduction is necessary prior to the processing of SAR images. The speckle noise
can be modeled as multiplicative iid Rayleigh noise. Logarithmic transformation of SAR
images convert the multiplicative noise models to additive noise. In this paper, two …
interference of electromagnetic waves. The speckle degrades the quality of the images and
makes interpretations, analysis and classifications of SAR images harder. Therefore, some
speckle reduction is necessary prior to the processing of SAR images. The speckle noise
can be modeled as multiplicative iid Rayleigh noise. Logarithmic transformation of SAR
images convert the multiplicative noise models to additive noise. In this paper, two …
Combined wavelet and curvelet denoising of SAR images using TV segmentation
JR Sveinsson, JA Benediktsson - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) images are corrupted by speckle noise due to random
interference of electromagnetic waves. The speckle degrades the quality of the images and
makes interpretations, analysis and classifications of SAR images harder. Therefore, some
speckle reduction is necessary prior to the processing of SAR images. The speckle noise
can be modeled as multiplicative iid Rayleigh noise. The discrete curvelet transform is a new
image representation approach that codes image edges more efficiently than the wavelet …
interference of electromagnetic waves. The speckle degrades the quality of the images and
makes interpretations, analysis and classifications of SAR images harder. Therefore, some
speckle reduction is necessary prior to the processing of SAR images. The speckle noise
can be modeled as multiplicative iid Rayleigh noise. The discrete curvelet transform is a new
image representation approach that codes image edges more efficiently than the wavelet …
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