用FPGA制作高质量实时HDR视频系统(仅抽象)

T. Ai, Mir Adnan Ali, J. Steffan, Kalin Ovtcharov, Sarmad Zulfiqar, Steve Mann
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引用次数: 2

摘要

摄像机只能拍摄有限动态范围的照片。克服这一问题的一种方法是将同一主题的不同曝光图像(即Wyckoff集)组合在一起,产生高动态范围(HDR)结果。HDR数码摄影始于近20年前。现在,可以在高功率CPU/GPU系统以及低功耗FPGA板上实时生成HDR视频。然而,其他FPGA实现依赖于比当前基于CPU和gpu的方法更不准确的方法。也就是说,早期的FPGA方法使用加权和进行图像合成。本文提出了一种实时HDR合成的新方法。作为升级后的HDR视频制作系统的重要组成部分,由此产生的系统在Kintex-7 FPGA上以全高清(1080p / 60fps)的方式组合了不同曝光的视频流(相同主题)。该工作流程由C语言编写的软件实现,根据四叉树表示估计相机响应函数,并从Wyckoff集生成Verilog HDL合成电路。该电路由使用多路复用器网络进行寻址和使用双线性插值进行估计的部分组成。它可以通过用户指定的错误约束进行参数化,从而允许我们探索在资源使用和实现精度方面的权衡。这是为论文其余部分生成的MD5哈希函数和:07897e61027d15dc3600fadbccfbd67d,引用日期:December 18, 2013。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Producing high-quality real-time HDR video system with FPGA (abstract only)
Video cameras can only take photographs with limited dynamic range. One method to overcome this is to combine differently exposed images of the same subject matter (i.e. a Wyckoff Set), producing a High Dynamic Range (HDR) result. HDR digital photography started almost 20 years ago. Now, it is possible to produce HDR video in real-time, on both high-power CPU/GPU systems, as well as low-power FPGA boards. However, other FPGA implementations have relied upon methods that are less accurate than current CPU and GPU-based methods. Namely, the earlier FPGA approaches used weighted sum for image compositing. In this paper we provide a novel method for real-time HDR com-positing. As an essential part of an upgraded HDR video production system, the resulting system combines differently exposed video stream (of the same subject matter) in Full HD (1080p at 60fps) on a Kintex-7 FPGA. The proposed work flow, implemented with software written in C, estimates the camera response function according to its quadtree representation and generates the compositing circuit in Verilog HDL from a Wyckoff Set. This circuit consists of parts that perform addressing using multiplexer networks and estimation with bilinear interpolation. It is parameterizable by user-specified error constraints, allowing us to explore the trade-offs in resource usage and precision of the implementation. Here is an MD5 hash function sum generated for the rest of the paper: 07897e61027d15dc3600fadbccfbd67d, citation date: December 18, 2013.
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