中文簡介

SIAM成像科學雜志(SIIMS)涵蓋了成像科學的所有領域，并得到了廣泛的解釋。它包括圖像形成、圖像處理、圖像分析、圖像解釋和理解、計算機圖形學和可視化、與圖像相關的機器學習以及成像中的逆問題;引領應用于科學、醫(yī)學、工程等多個領域。在數(shù)學和/或計算水平上的正式方法，以及最先進的實際結(jié)果，都期望從SIIMS中發(fā)表的手稿中得到。SIIMS結(jié)合了數(shù)學和應用，為成像科學的基本結(jié)果提供了廣泛的權威來源。SIIMS是基于數(shù)學和計算的，并提供了一個獨特的論壇來強調(diào)方法、模型和算法在成像科學的不同應用領域中的共性。鼓勵作者利用電子出版物的無限可能性，使用顏色、動畫、視頻、演示文稿和附加補充材料，詳見作者說明。SIIMS與同行評審的期刊《在線圖像處理》(IPOL)提供交叉引用。我們鼓勵作者向IPOL提交他們的算法描述和軟件，以增加他們工作的可視性和研究人員之間合作的潛力。特別歡迎在基礎和應用方面都有所創(chuàng)新的研究論文。SIIMS關注概念上的新思想、方法和應用于成像科學各個方面的基礎。

投稿網(wǎng)址：http://siims.siam.org/cgi-bin/main.plex

英文簡介

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, 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.