AIMS, LLC
1930-8345
Quarterly
1.3
1930-8337
2007
17134170390
YES
United States
English
YES
Google Scholar
gunther@math.washington.edu
Inverse Problems and Imaging (IPI) publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in the sciences and engineering. This journal is committed to recording important new results in its field and will maintain the highest standards of innovation and quality. To be published in this journal, a paper must be correct, novel, nontrivial and of interest to a substantial number of researchers and readers. Inverse Problems and Imaging (IPI) publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in engineering and other sciences. Every published paper has a strong mathematical orientation employing methods from such areas as control theory, discrete mathematics, differential geometry, harmonic analysis, functional analysis, integral geometry, mathematical physics, numerical analysis, optimization, partial differential equations, and stochastic and statistical methods. The field of applications includes medical and other imaging, nondestructive testing, geophysical prospection and remote sensing as well as image analysis and image processing.
Navigating unmanned aerial vehicles in precarious environments is of great importance. It is necessary to rely on alternative information processing techniques to attain spatial information ...
Convolutional neural networks (CNNs) are known for their powerful feature extraction ability, and have achieved great success in a variety of image processing tasks. However, convolution fil...
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