Journal ArticleDOI
Speckle reducing anisotropic diffusion
Yongjian Yu,Scott T. Acton +1 more
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TLDR
This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications, and validates the new algorithm using both synthetic and real linear scan ultrasonic imagery of the carotid artery.Abstract:
This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications. SRAD is the edge-sensitive diffusion for speckled images, in the same way that conventional anisotropic diffusion is the edge-sensitive diffusion for images corrupted with additive noise. We first show that the Lee and Frost filters can be cast as partial differential equations, and then we derive SRAD by allowing edge-sensitive anisotropic diffusion within this context. Just as the Lee (1980, 1981, 1986) and Frost (1982) filters utilize the coefficient of variation in adaptive filtering, SRAD exploits the instantaneous coefficient of variation, which is shown to be a function of the local gradient magnitude and Laplacian operators. We validate the new algorithm using both synthetic and real linear scan ultrasonic imagery of the carotid artery. We also demonstrate the algorithm performance with real SAR data. The performance measures obtained by means of computer simulation of carotid artery images are compared with three existing speckle reduction schemes. In the presence of speckle noise, speckle reducing anisotropic diffusion excels over the traditional speckle removal filters and over the conventional anisotropic diffusion method in terms of mean preservation, variance reduction, and edge localization.read more
Citations
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Book
Despeckle Filtering for Ultrasound Imaging and Video, Volume II: Selected Applications, Second Edition
TL;DR: This book is to demonstrate the use of a comparative evaluation framework based on these despeckle filters (introduced on book 1) on cardiovascular ultrasound image and video processing and analysis.
Journal ArticleDOI
SAR despeckling via classification-based nonlocal and local sparse representation
TL;DR: This work modifies the well-salgortudied method of CSR, but also applialgories to despeckle SAR image to gain the two nonlocal sparsity constraint terms.
Proceedings ArticleDOI
A Review of State-of-the-art Speckle Reduction Techniques for Optical Coherence Tomography Fingertip Scans
TL;DR: Six speckle reducing filters for the digital enhancement of OCT fingertip scans have been evaluated and the optimized Bayesian non-local means algorithm improved the structural similarity between processed and reference images, increased the signal-to-noise ratio, and yielded the most promising visual results.
A New Filtering Technique for denoising Speckle Noise from Medical Images Based on Adaptive and Anisotropic Diffusion Filter
TL;DR: To compare the performance of some of the primitive and fundamentally different post acquisition image enhancement algorithms as applied to different ultrasound (US) images, a multipoint rank-order method was used and the proposed modified anisotropic diffusion filtering outperformed than other techniques.
Proceedings ArticleDOI
Automatic Measurement of the Intima-Media Thickness with Active Contour Based Image Segmentation
TL;DR: An automatic segmentation approach which makes use of a first non linear filtering based on anisotropic diffusion followed by an iterative relaxation procedure to detect the far wall of the common carotid artery from sonographic images is proposed.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
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.
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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
Adaptive speckle filters and scene heterogeneity
A. Lopes,Ridha Touzi,E. Nezry +2 more
TL;DR: The most well known adaptive filters for speckle reduction are analyzed and it is shown that they are based on a test related to the local coefficient of variation of the observed image, which describes the scene heterogeneity.