SIAM Journal on Imaging Sciences

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, computer graphics and visualization, imaging-related machine learning, and inverse problems in imaging; leading to applications to diverse areas in science, medicine, engineering, and other fields. 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 provides a broad authoritative source for fundamental results in imaging sciences, with a unique combination of mathematics and applications. 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.Authors are encouraged to exploit the endless possibilities of an electronic publication with the use of color, animations, video, presentations, and additional supplementary material as detailed in the instructions for authors. SIIMS provides cross-referencing with the peer-reviewed journal Image Processing On Line (IPOL). We encourage authors to submit their algorithm description and software to IPOL in order to increase the visibility of their work and the potential for collaboration between researchers.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.

SIAM成像科学杂志(SIIMS)涵盖了成像科学的所有领域，并得到了广泛的解释。它包括图像形成、图像处理、图像分析、图像解释和理解、计算机图形学和可视化、与图像相关的机器学习以及成像中的逆问题;引领应用于科学、医学、工程等多个领域。在数学和/或计算水平上的正式方法，以及最先进的实际结果，都期望从SIIMS中发表的手稿中得到。SIIMS结合了数学和应用，为成像科学的基本结果提供了广泛的权威来源。SIIMS是基于数学和计算的，并提供了一个独特的论坛来强调方法、模型和算法在成像科学的不同应用领域中的共性。鼓励作者利用电子出版物的无限可能性，使用颜色、动画、视频、演示文稿和附加补充材料，详见作者说明。SIIMS与同行评审的期刊《在线图像处理》(IPOL)提供交叉引用。我们鼓励作者向IPOL提交他们的算法描述和软件，以增加他们工作的可视性和研究人员之间合作的潜力。特别欢迎在基础和应用方面都有所创新的研究论文。SIIMS关注概念上的新思想、方法和应用于成像科学各个方面的基础。