The SIAM Journal on Imaging Sciences (SIIMS) publishes research that blends mathematical analysis, computational methods, and applications to advance the field of imaging science. SIIMS seeks to capture the intrinsic interdisciplinary nature of imaging.
The journal covers a broad spectrum of topics, including image formation, image processing, image analysis, computer vision, biomedical imaging, remote sensing, and various industrial applications. Specific areas of interest include mathematical and statistical models, algorithms for image reconstruction and enhancement, feature extraction, object recognition, and image understanding. The target audience includes mathematicians, computer scientists, engineers, and researchers working in imaging-related fields.
SIIMS serves as a premier platform for disseminating cutting-edge research in imaging sciences. By publishing high-impact articles with strong mathematical foundations, SIIMS aims to drive innovation and facilitate the development of new imaging technologies and applications. Submit your research to contribute to the advancement of this exciting field.