SIAM Journal on Imaging Sciences

期刊简介：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.

【译文】涵盖所有成像科学领域，包括图像形成、图像处理、图像分析、图像解释和理解、与成像相关的机器学习以及成像中的逆问题；应用于科学、医学、工程和其他领域的多样化领域。该期刊的范围旨在足够广泛，包括现在组织在图像处理、图像分析、计算机图形学、计算机视觉、视觉机器学习和可视化等术语下的领域。期望从SIIMS发表的论文中提供数学和/或计算层面的正式方法以及最先进的应用成果。SIIMS基于数学和计算，提供了一个独特的论坛，以突出成像科学不同应用领域的共同方法、模型和算法。SIIMS为成像科学的基本结果提供了一个广泛的权威来源，结合了数学和应用。