A model for efficient and flexible image computing

Michael A. Shantzis
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引用次数: 31

Abstract

As common as imaging operations are, the literature contains little about how to build systems for image computation. This paper presents a system which addresses the major issues of image computing. The system includes an algorithm for performing imaging operations which guarantees that we only compute those regions of the image that will affect the result. The paper also discusses several other issues critical when creating a flexible image computing environment and describes solutions for these problems in the context of our model. These issues include how one handles images of any resolution and how one works in arbitrary coordinate systems. It also includes a discussion of the standard memory models, a presentation of a new model, and a discussion of each one's advantages and disadvantages.
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一种高效灵活的图像计算模型
与成像操作一样常见的是,文献中关于如何构建图像计算系统的内容很少。本文提出了一个解决图像计算主要问题的系统。该系统包括一个用于执行成像操作的算法,该算法保证我们只计算图像中会影响结果的那些区域。本文还讨论了在创建灵活的图像计算环境时的其他几个关键问题,并描述了在我们的模型上下文中这些问题的解决方案。这些问题包括如何处理任意分辨率的图像以及如何在任意坐标系下工作。它还包括对标准内存模型的讨论,对新模型的介绍,以及对每种模型的优缺点的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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