SIAM J IMAGING SCI
ISSN：1936-4954 E-ISSN：— 出版商：Society for Industrial and Applied Mathematics Publications 国家：UNITED STATES 周期：Quarterly
| 收录情况 | h-index：53 CiteScore：5.20 |
SIAM Journal on Imaging Sciences (SIIMS) covers all areas of imaging sciences| broadly interpreted. It includes image formation| image processing| image analysis| image interpretation and understanding| imaging-related machine learning| and inverse problems in imaging; leading to applications to diverse areas in science| medicine| engineering| and other fields. The journal’s scope is meant to be broad enough to include areas now organized under the terms image processing| image analysis| computer graphics| computer vision| visual machine learning| and visualization. Formal approaches| at the level of mathematics and/or computations| as well as state-of-the-art practical results| are expected from manuscripts published in SIIMS. SIIMS is mathematically and computationally based| and offers a unique forum to highlight the commonality of methodology| models| and algorithms among diverse application areas of imaging sciences. SIIMS provides a broad authoritative source for fundamental results in imaging sciences| with a unique combination of mathematics and applications. SIIMS covers a broad range of areas| including but not limited to image formation| image processing| image analysis| computer graphics| computer vision| visualization| image understanding| pattern analysis| machine intelligence| remote sensing| geoscience| signal processing| medical and biomedical imaging| and seismic imaging. The fundamental mathematical theories addressing imaging problems covered by SIIMS include| but are not limited to| harmonic analysis| partial differential equations| differential geometry| numerical analysis| information theory| learning| optimization| statistics| and probability. Research papers that innovate both in the fundamentals and in the applications are especially welcome. SIIMS focuses on conceptually new ideas| methods| and fundamentals as applied to all aspects of imaging sciences.
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