Proceedings ArticleDOI
Adaptive Restoration Of Images With Speckle
D. T. Kuan,Alexander A. Sawchuk,T. C. Strand,Pierre Chavel +3 more
- Vol. 0359, pp 28-38
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TLDR
This work model the speckle according to the exact physical process of coherent image formation and accurately represents the higher order statistical properties of speckel that are important to the restoration procedure.Abstract:
Speckle is a granular noise that inherently exists in all types of coherent imaging systems. The presence of speckle in an image reduces the resolution of the image and the detectability of the target. Many speckle reduction algorithms assume speckle noise is multiplicative. We instead model the speckle according to the exact physical process of coherent image formation. Thus, the model includes signal-dependent effects and accurately represents the higher order statistical properties of speckle that are important to the restoration procedure. Various adaptive restoration filters for intensity speckle images are derived based on different speckle model assumptions and a nonstationary image model. These filters respond adaptively to the signal-dependent speckle noise and the nonstationary statistics of the original image.© (1983) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.read more
Citations
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Journal ArticleDOI
Speckle reducing anisotropic diffusion
Yongjian Yu,Scott T. Acton +1 more
TL;DR: 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.
Journal ArticleDOI
A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images
TL;DR: A comprehensive review of despeckling methods since their birth, over thirty years ago, highlighting trends and changing approaches over years and proposing new methods based on new concepts of signal processing, like compressive sensing.
Journal ArticleDOI
A review of speckle filtering in the context of estimation theory
TL;DR: It is shown that speckle filtering can be effective only in locally stationary scenes, and structural-multiresolution versions of the Lee (1980) and Frost et al. (1982) filters are developed for optimum application of these filters in the context of nonstationary scene signals.
Journal ArticleDOI
Blind inverse gamma correction
TL;DR: This paper presents a technique for blindly estimating the amount of gamma correction in the absence of any calibration information or knowledge of the imaging device by exploiting the fact that gamma correction introduces specific higher-order correlations in the frequency domain.
Proceedings ArticleDOI
A comparison of digital speckle filters
Zhenghao Shi,K.B. Fung +1 more
TL;DR: Some of the well-known adaptive speckle reduction filters are evaluated and compared based on objective and practical criteria.
References
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Journal ArticleDOI
Some fundamental properties of speckle
TL;DR: In this paper, the distribution of scale sizes in a speckle pattern (i.e., the Wiener spectrum) is investigated from a physical point of view, and it is shown that adding M uncorrelated speckles on an intensity basis can reduce the contrast by 1/√M.
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.
ReportDOI
Statistical properties of laser sparkle patterns
TL;DR: In this article, the first order statistics of the observed electric-field strength, the observed light intensity, and observed light phase are examined, and the autocorrelation functions of the complex field and intensity processes are investigated, and that of the electric field is found to be proportional to the Fourier transform of the light intensity distribution incident on the scattering surface.
Journal ArticleDOI
Speckle analysis and smoothing of synthetic aperture radar images
TL;DR: This paper develops a statistical technique to define a noise model, and then successfully applies a local statistics noise filtering algorithm to a set of actual SEASAT SAR images, resulting in smoothed images that permit observers to resolve fine detail with an enhanced edge effect.
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