Spatially Adaptive Wavelet-Based Method Using the Cauchy Prior for Denoising the SAR Images

Bhuiyan, Mohammed Imamul Hassan; Ahmad, M. Omair; Swamy, M.N.S.

doi:10.1109/tcsvt.2006.888020

Cited by 121 publications

(53 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results obtained for proposed method are compared with other existing modeling based methods viz. Wiener filter [11], VISU Shrink [12] and modelling of stationary wavelet coefficients using Cauchy distribution [13]. Table 1 Table 2 shows the ENL values obtained for real SAR image.…”

Section: Resultsmentioning

confidence: 99%

SWT based DE noising Technique for SAR Images

Goel¹

2017

IJRASET

View full text Add to dashboard Cite

Synthetic Aperture Radar (SAR) is a satellite imaging technology. It produces high resolution images and can be used in varied atmospheric conditions. It can be used under all weather conditions. SAR images are generally affected with granular noise termed as speckle noise. Speckle degrades the spatial resolution, contrast of the image, decreases object detectability and causes inconvenience to the SAR image interpreter. Therefore for proper interpretation, it is essential to reduce the speckle noise in SAR images. This paper presents a new speckle noise reduction technique using modelling wa zvelet coefficients. Noiseless and noisy wavelet coefficients are modelled as two-sided generalised Gamma distribution (GΓD) and Gaussian distribution respectively.

show abstract

Section: Resultsmentioning

confidence: 99%

SWT based DE noising Technique for SAR Images

Goel¹

2017

IJRASET

View full text Add to dashboard Cite

show abstract

“…1), Italy, since it has statistics more similar to those of a SAR image. Results are compared with those of the most recent techniques proposed for SAR image denoising, that is PPB-SAR [9] (nonlocal) and SA-WBMMAE [5] (local), as well as with the nonlocal algorithms for AWGN images mentioned before (NLM, PPB, BM3D). For these last techniques, we carry out preliminarily a log-transform, and then estimate and subtract the non-zero mean [5] of the noise.…”

Section: Resultsmentioning

confidence: 99%

“…To circumvent this problem, a homomorphic transformation is typically applied on the image beforehand, so as to obtain additive noise. Then, the wavelet coefficients can be properly modeled in the log-domain and estimated by means of a bayesian approach, as proposed for example in [4] and [5], before going back to the original domain. This approach, relatively simple, has the drawback of altering the statistics of the original image, which might introduce unwanted artifacts.…”

Section: Introductionmentioning

confidence: 99%

A nonlocal approach for SAR image denoising

Parrilli¹,

Poderico²,

Angelino

et al. 2010

2010 IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

show abstract

“…A new technique of homomorphic approach (Bhuiyan, 2007) was suggested wherein the SAR image is log transformed to make multiplicative noise into additive which again results in blurring of many important features.…”

Section: Spatial Domain Filtering Techniquesmentioning

confidence: 99%

“…This technique employs Bayesian Minimum Mean Absolute Error Estimator (MMAE) or Bayesian MAP estimator [8]Even though it possesses various advantages like improvement in Peak Signal to Noise Ratio (PSNR), Structural Similarity Index Matrix (SSIM), ENL, edge preservation and line structures, it introduces artifacts. One more Bayesian approach was developed to reconstruct signal using a set of compressed sensing measurement affected by heavy tailed noise using multivariate Cauchy prior and shows better result than the Gaussian method.…”

Section: International Journal Of Computer Applications (0975 -8887) mentioning

confidence: 99%

Performance Analysis Survey of Various SAR Image Despeckling Techniques

Rajamani¹,

Krishnaveni²

2014

IJCA

View full text Add to dashboard Cite

Over the past four decades, the Synthetic Aperture Radar (SAR) imagery has become a beneficial and important application over the optical satellite imagery because of its ability to operate in any weather conditions. However, these images are affected with granular noise termed as Speckle noise. This noise affects the overall quality of the image adversely and hence hinders the observation of vital and crucial information present in the image. Thus, it has become essential to remove this speckle noise using suitable techniques. This paper presents the various important techniques available till date for the removal of speckle noise from SAR images and each technique with its own advantages and limitations are described. It also presents qualitative and quantitative measures of various techniques.

show abstract

Spatially Adaptive Wavelet-Based Method Using the Cauchy Prior for Denoising the SAR Images

Cited by 121 publications

References 35 publications

SWT based DE noising Technique for SAR Images

SWT based DE noising Technique for SAR Images

A nonlocal approach for SAR image denoising

Performance Analysis Survey of Various SAR Image Despeckling Techniques

Contact Info

Product

Resources

About