The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles, invited papers, and expository articles.

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications.

The scope of the journal includes:

computational models of vision; imaging algebra and mathematical morphology

mathematical methods in reconstruction, compactification, and coding

filter theory

probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science

inverse optics

wave theory.

Specific application areas of interest include, but are not limited to:

all aspects of image formation and representation

medical, biological, industrial, geophysical, astronomical and military imaging

image analysis and image understanding

parallel and distributed computing

computer vision architecture design.

《数学成像与视觉杂志》是一本技术杂志，发表数学成像领域的重要新进展。该杂志发表研究文章、受邀论文和说明性文章。

新图像处理硬件的最新发展、多传感器数据融合的出现以及视觉研究的快速进步，导致成像科学跨学科领域的爆炸式增长。这种增长导致了高度复杂的数学模型和理论的发展。该杂志强调数学作为成像科学的严格基础的作用。这为该领域的现有杂志提供了一个良好的替代方案。投稿将根据数学内容进行评判。文章可以是物理推测，但需要在数学上合理。重点放在以新颖的方式应用于视觉和成像问题的创新或成熟的数学技术，以及从这些应用中产生的数学新发展和问题。

该杂志的范围包括：

视觉的计算模型；成像代数和数学形态学

重建、紧化和编码中的数学方法

滤波理论

成像科学中的概率、统计、几何、拓扑和分形技术和模型

逆光学

波动理论。

感兴趣的具体应用领域包括但不限于：

图像形成和表示的所有方面

医学、生物、工业、地球物理、天文和军事成像

图像分析和图像理解

并行和分布式计算

计算机视觉架构设计。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映工程技术-计算机：人工智能领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为1.3，平均审稿速度为 约1.0个月 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。