This paper presents and evaluates an approach to deploy image and video processing pipelines that are developed frame-oriented on a hardware platform that is stream-oriented, such as an FPGA. First, this calls for a specialized streaming memory hierarchy and accompanying software framework that transparently moves image segments between stages in the image processing pipeline. Second, we use softcore VLIW processors, that are targetable by a C compiler and have hardware debugging capabilities, to evaluate and debug the software before moving to a High-Level Synthesis flow. The algorithm development phase, including debugging and optimizing on the target platform, is often a very time consuming step in the development of a new product. Our proposed platform allows both software developers and hardware designers to test iterations in a matter of seconds (compilation time) instead of hours (synthesis or circuit simulation time).

中文翻译：

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用于医学图像处理应用程序的基于帧的编程，基于流的处理。

本文提出并评估了一种部署图像和视频处理管道的方法，这些管道是在面向流的硬件平台（如FPGA）上面向框架开发的。首先，这需要专门的流存储器层次结构和随附的软件框架，该框架可以在图像处理管道中的各个阶段之间透明地移动图像段。其次，我们使用软核VLIW处理器（可通过C编译器作为目标并具有硬件调试功能）在进入高级综合流程之前评估和调试软件。算法开发阶段（包括在目标平台上进行调试和优化）通常是新产品开发中非常耗时的步骤。