Proceedings ArticleDOI
Speckle Reduction with Multiresolution Bilateral Filtering for SAR Image
Bibo Lu,Yongxia Ku +1 more
- pp 700-703
TLDR
A new speckle reduction method based on wavelet and bilateral filtering is proposed that preserves edges and protect details in synthetic aperture radar (SAR) images.Abstract:
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which requires despeckle before many other image processing and analysis applications. In this paper, a new speckle reduction method based on wavelet and bilateral filtering is proposed. Bilatreal filtering is applied to the low frequency subbands of a signal obtained by wavelet transform. The new method preserves edges and protect details. Experimental results tested on real SAR images demonstrate the performance of the proposed method.read more
Citations
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Journal ArticleDOI
Despeckling of Synthetic Aperture Radar Images Using Monte Carlo Texture Likelihood Sampling
TL;DR: A novel stochastic texture-based algorithm is proposed to suppress speckle noise while preserving the underlying structural and texture detail in synthetic aperture radar (SAR) images.
Proceedings ArticleDOI
Despeckling SAR images with an adaptive bilateral filter
TL;DR: Experiments performed on synthetically-speckled images show that the proposed method outperforms several existing methods for despeckling in terms of the peak signal-to-noise ratio, structural similarity and edge preservation indices and visual quality.
Dissertation
Sea-Ice Detection from RADARSAT Images by Gamma-based Bilateral Filtering
TL;DR: In this paper, the authors present a Table of Table of contents of the paper "Acknowledgements and acknowledgements of the authors of this paper: https://www.goprocessor.org/
Proceedings ArticleDOI
Despeckling algorithm for remote sensing synthetic aperture radar images using multi-scale curvelet transform
TL;DR: This study uses fast discrete curvelet transform (FDCT) based on wresting and uses unsupervised adaptive threshold learning to develop a new despeckling algorithm for SAR images that performs better than similar methods.
Proceedings ArticleDOI
Gradient based SAR image despeckling and super resolution using Zernike Moments and Bootstrapping
TL;DR: In this paper, a new despeckling and super resolution (SR) approach for SAR applications is proposed, which extracts all of edges with their sharpness using Zernike moments and also bootstrapping approach.
References
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Proceedings ArticleDOI
Bilateral filtering for gray and color images
Carlo Tomasi,Roberto Manduchi +1 more
TL;DR: In contrast with filters that operate on the three bands of a color image separately, a bilateral filter can enforce the perceptual metric underlying the CIE-Lab color space, and smooth colors and preserve edges in a way that is tuned to human perception.
Journal ArticleDOI
Digital Image Enhancement and Noise Filtering by Use of Local Statistics
TL;DR: Experimental results show that in most cases the techniques developed in this paper are readily adaptable to real-time image processing.
Journal ArticleDOI
A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise
TL;DR: A model for the radar imaging process is derived and a method for smoothing noisy radar images is presented and it is shown that the filter can be easily implemented in the spatial domain and is computationally efficient.
Journal ArticleDOI
Refined filtering of image noise using local statistics
TL;DR: In this article, an extension of Lee's local statistics method modified to utilize local gradient information is presented, where the local mean and variance are computed from a reduced set of pixels depending on the orientation of the edge.
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