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. Emphasizing the role of mathematics as a rigorous basis for imaging science, this journal details innovative or established mathematical techniques applied to vision and imaging problems in a novel way. It also reports on new developments and problems in mathematics arising from these applications.The scope of Journal of Mathematical Imaging and Vision 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.This journal contains research articles, invited papers, and expository articles.

目前，新的圖像處理硬件的發展，多傳感器數據融合的出現，以及視覺研究的快速發展，導致了成像科學跨學科領域的爆炸性增長。強調數學作為成像科學的嚴格基礎的作用，這本雜志以一種新穎的方式詳述了應用于視覺和成像問題的創新或已建立的數學技術。它還報告了這些應用在數學方面的新發展和問題。數學成像與視覺雜志的范圍包括:-視覺的計算模型;成像代數和數學形態學-重建、緊化和編碼的數學方法-濾波理論-成像科學中的概率、統計、幾何、拓撲和分形技術和模型-逆光學-波理論。這本雜志包含研究文章，邀請論文和說明性文章。