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Rapid Design of Real-Time Image Fusion on FPGA using HLS and Other Techniques

机译:利用HLS和其他技术在FPGA上进行实时图像融合的快速设计

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During the process of implementing a parameterized hardware IP generator for an image fusion algorithm, we had a chance to test various tools and techniques such as HLS, pipelining, and PCIe logic/software porting, which we developed in a previous design project. Image fusion combines two or more images through a color transformation process. Depending on the application, different fps and/or resolution may be needed. Yet the specifics of the image-processing algorithm may frequently change causing redesign. If the target platform is FPGA, usually rapid yet optimized hardware implementation is required. All these requirements cannot be met only by HLS. Clever approaches in terms of architectural techniques such as unorthodox ways of pipelining, RTL coding, and creative ways of porting interface logic/software allowed us to meet the requirements outlined above. With all these in our arsenal, we were able to get 3 versions of the algorithm (with different fps and/or resolution) running on Cyclone IV and Arria 10 FPGAs in a fairly short amount of time. This paper explains the image fusion algorithm, our hardware architecture as well as our specific flow for rapid implementation of it.
机译:在为图像融合算法实现参数化硬件IP生成器的过程中,我们有机会测试了我们在先前设计项目中开发的各种工具和技术,例如HLS,流水线和PCIe逻辑/软件移植。图像融合通过颜色转换过程将两个或更多图像组合在一起。根据应用程序,可能需要不同的fps和/或分辨率。然而,图像处理算法的细节可能会经常变化,从而导致重新设计。如果目标平台是FPGA,通常需要快速而优化的硬件实现。仅HLS不能满足所有这些要求。在诸如非常规的流水线方式,RTL编码以及移植接口逻辑/软件的创新方式等架构技术方面,巧妙的方法使我们能够满足上述要求。有了这些功能,我们就可以在相当短的时间内在Cyclone IV和Arria 10 FPGA上运行3个版本的算法(具有不同的fps和/或分辨率)。本文介绍了图像融合算法,我们的硬件体系结构以及我们快速实现它的特定流程。

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