Developments in the theory of image reconstruction and restoration in the past ten or twenty years are outlined. Particular attention is paid to Bayesian inversion methods and to the potential they offer for describing local properties in images
Most modern imaging systems incorporate a computational pipeline to infer the image of interest from...
This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose...
The concept of an inverse problem is a familiar one to most scientists and engineers, particularly i...
Developments in the theory of image reconstruction and restoration in the past ten or twenty years a...
International audienceClassical methods for inverse problems are mainly based on regularization theo...
Many scientific, medical or engineering problems raise the issue of recovering some physical quantit...
Founding on a physical transformation process described by a Fredholm integral equation of the first...
Many image processing problems can be presented as inverse problems by modeling the relation of the ...
The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on t...
Inverse problems – the process of recovering unknown parameters from indirect measurements – are enc...
Patch models have proven successful to solve a variety of inverse problems in image restoration. Rec...
Summary. In this paper we present techniques for deriving inversion algorithms in medical imaging. T...
ge which is superior in some way (e.g. has higher resolution or has reduced distortion). In the case...
Image restoration is a dynamic field of research. The need for efficient image restoration methods h...
Abstract—In this paper a new image prior is introduced and used in image restoration. This prior is ...
Most modern imaging systems incorporate a computational pipeline to infer the image of interest from...
This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose...
The concept of an inverse problem is a familiar one to most scientists and engineers, particularly i...
Developments in the theory of image reconstruction and restoration in the past ten or twenty years a...
International audienceClassical methods for inverse problems are mainly based on regularization theo...
Many scientific, medical or engineering problems raise the issue of recovering some physical quantit...
Founding on a physical transformation process described by a Fredholm integral equation of the first...
Many image processing problems can be presented as inverse problems by modeling the relation of the ...
The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on t...
Inverse problems – the process of recovering unknown parameters from indirect measurements – are enc...
Patch models have proven successful to solve a variety of inverse problems in image restoration. Rec...
Summary. In this paper we present techniques for deriving inversion algorithms in medical imaging. T...
ge which is superior in some way (e.g. has higher resolution or has reduced distortion). In the case...
Image restoration is a dynamic field of research. The need for efficient image restoration methods h...
Abstract—In this paper a new image prior is introduced and used in image restoration. This prior is ...
Most modern imaging systems incorporate a computational pipeline to infer the image of interest from...
This paper describes a Bayesian restoration method applied to two-dimensional measured images, whose...
The concept of an inverse problem is a familiar one to most scientists and engineers, particularly i...
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