The deconvolution procedure based on the maximum-entropy method is applied to improve both resolution and noise characteristics of micro-PIXE maps. The procedure is simple to execute, fast, easily automated and assumes no a priori information. The best improvement is observed for data with low statistics. Special emphasis is given to the difficulties and limitations of processing micro-PIXE data. Examples of applications for biomedical samples are presented
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
This dissertation is concerned with an image processing algorithm that performs image enhancement an...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
Medical radiography is a process by which the internal structures of the human body are imaged using...
The maximum-entropy method (MEM) has been applied for the deconvolution of the point-spread function...
An alternative motivation for the maximum entropy method (MEM) is given and its practical implementa...
The aim of the research was to develop the technique of maximum entropy for clinical application and...
Medical radiography is a process by which the internal structures of the human body are imaged using...
Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
This dissertation is concerned with an image processing algorithm that performs image enhancement an...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
The deconvolution procedure based on the maximum-entropy method is applied to improve both resolutio...
Medical radiography is a process by which the internal structures of the human body are imaged using...
The maximum-entropy method (MEM) has been applied for the deconvolution of the point-spread function...
An alternative motivation for the maximum entropy method (MEM) is given and its practical implementa...
The aim of the research was to develop the technique of maximum entropy for clinical application and...
Medical radiography is a process by which the internal structures of the human body are imaged using...
Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem...
The maximum entropy method has been shown to be the only regularisation method which does not introd...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
In image processing, the maximum entropy principle is generally recognized as having a relevant role...
This dissertation is concerned with an image processing algorithm that performs image enhancement an...