A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization theory ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
A robust method for tomographic image reconstruction from limited-angle noisy measurements is proposed which builds upon a combination of regularization ...
The purpose of this paper is to provide an overview of both theoretical and practical aspects of the method of projections onto convex sets. Extensions of the ...
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Abstract—We develop two new algorithms for tomographic reconstruction which incorporate the technique of Equally-. Sloped Tomography (EST) and allow for the ...
Statistical image reconstruction (SIR) methods have shown potential to substantially improve the image quality of low‐dose x‐ray computed tomography (CT)
We present a new algorithm for image restoration in limited-angle chromotomography. The algorithm is a generalization of the technique considered previously by ...
To reconstruct an image from noisy projection data, one can pose it as a constrained least-squares problem. As the constraints are non-convex, many approaches ...
Cluster analysis via projection onto convex sets | Request PDF
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Oct 22, 2024 · This paper proposes a data clustering algorithm that is inspired by the prominent convergence property of the Projection onto Convex Sets ...