Fundamentals of digital image processing
Fundamentals of digital image processing
Digital image processing: concepts, algorithms and scientific applications
Digital image processing: concepts, algorithms and scientific applications
Applied Neural Networks For Signal Processing
Applied Neural Networks For Signal Processing
Vector-entropy optimization-based neural-network approach to image reconstruction from projections
IEEE Transactions on Neural Networks
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
An analytical approach to the image reconstruction problem using EM algorithm
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
A neuronal approach to the statistical image reconstruction from projections problem
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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This paper presents a novel approach to the problem of image reconstruction from projections using recurrent neural network. The reconstruction process is performed during the minimizing of the energy function in this network. Our method is of a great practical use in reconstruction from discrete fan-beam projections. Experimental results show that the appropriately designed neural network is able to reconstruct an image with better quality than obtained from conventional algorithms.