منابع مشابه
Sparse deconvolution of high-density super-resolution images
In wide-field super-resolution microscopy, investigating the nanoscale structure of cellular processes, and resolving fast dynamics and morphological changes in cells requires algorithms capable of working with a high-density of emissive fluorophores. Current deconvolution algorithms estimate fluorophore density by using representations of the signal that promote sparsity of the super-resolutio...
متن کاملOptimal Sparse Representations for Blind Deconvolution of Images
The relative Newton algorithm, previously proposed for quasi maximum likelihood blind source separation and blind deconvolution of one-dimensional signals is generalized for blind deconvolution of images. Smooth approximation of the absolute value is used in modelling the log probability density function, which is suitable for sparse sources. We propose a method of sparsification, which allows ...
متن کاملCorrigendum: Sparse deconvolution of high-density super-resolution images
A marked-up version of the Supplementary Information was inadvertently published with the original version of this Article. In addition, Supplementary Software 1 was omitted. These errors have now been corrected. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Co...
متن کاملDeconvolution of in-vivo ultrasound B-mode images.
An algorithm for deconvolution of medical ultrasound images is presented. The procedure involves estimation of the basic one-dimensional ultrasound pulse, determining the ratio of the covariance of the noise to the covariance of the reflection signal, and finally deconvolution of the rf signal from the transducer. Using pulse and covariance estimators makes the approach self-calibrating, as all...
متن کاملDeconvolution of sparse positive spikes
Deconvolution is usually regarded as one of the ill-posed problems in applied mathematics if no constraints on the unknowns are assumed. In this paper, we discuss the idea of welldefined statistical models being a counterpart of the notion of well-posedness. We show that constraints on the unknowns such as positivity and sparsity can go a long way towards overcoming the ill-posedness in deconvo...
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ژورنال
عنوان ژورنال: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
سال: 2007
ISSN: 0885-3010
DOI: 10.1109/tuffc.2007.434