Journal Title：Journal Of Mathematical Imaging And Vision

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.

The Journal of Mathematical Imaging and Vision 是一本技术期刊，发表数学成像方面的重要新进展。该期刊发表研究文章、特邀论文和说明性文章。

新图像处理硬件的当前发展、多传感器数据融合的出现以及视觉研究的快速发展，导致了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严谨基础的作用。这为该领域的现有期刊提供了一个不错的选择。贡献是根据数学内容来判断的。文章可能在物理上是推测性的，但需要在数学上是合理的。重点放在以新颖的方式应用于视觉和成像问题的创新或已建立的数学技术，以及这些应用产生的数学新发展和问题。

期刊范围包括：

视觉计算模型；成像代数与数学形态学

重构、压缩和编码中的数学方法

过滤理论

成像科学中的概率、统计、几何、拓扑和分形技术和模型

反光学

波浪理论。

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。