VR设备中实时4K HDR图像解码的FPGA IP

Kamlakannan Kamalavasan, Ratnasegar Natheesan, K. Pradeep, Sivakumaran Gowthaman, S. Aravinth, A. Pasqual
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引用次数: 3

摘要

采用高动态范围(HDR)技术的四高清(QHD/4K)虚拟现实(VR)头显将为用户提供卓越的体验。无线VR头显具有吸引力,因为它提供了移动自由和更高的用户舒适度。云和工作站能够轻松实时渲染4K HDR场景。通过无线网络高效传输这些场景需要使用压缩技术。在VR设备上实时解码4K HDR帧是一个挑战。考虑到硬件解码器的功耗和存储效率,本文提出了基于JPEG-XT Profile C的硬件架构来实时解码4K HDR帧。我们采用了融合基层和残差层解码管道的新方法,设计了基于概率的混合霍夫曼查找表架构和稀疏感知的逆锯齿处理。我们的解码器在Xilinx VC707板上实现,在仅消耗7K lut, 12K寄存器和1980Kb块内存的情况下,以30fps实现4K HDR帧的解码性能。单时钟架构,使用时钟使能逻辑和资源共享的时间将功耗降低到1瓦以下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA IP for Real-time 4K HDR Image Decoding in VR Devices
Quad High Definition (QHD/4K) Virtual Reality (VR) Headsets with High Dynamic Range (HDR) technology will provide a superior experience to users. Wireless VR headsets are attractive as it offers freedom on mobility and higher user comfort. Cloud and workstations are capable of rendering 4K HDR scenes in real-time with ease. The efficient transmission of these scenes through wireless network requires the use of compression techniques. Decoding 4K HDR frames at VR devices in real-time is a challenge. Given the power and memory efficiency of the hardware decoders, in this paper we propose JPEG-XT Profile C based hardware architecture to decode 4K HDR frames in real-time. We employ novel methods for merged base and residual layer decoding pipelines, design of probability-based hybrid Huffman lookup table architecture and sparsity aware inverse zig-zag processing. Our decoder is implemented in Xilinx VC707 board and achieved the decoding performance of 4K HDR frames at 30fps while consuming only 7K of LUTs, 12K of Registers and 1980Kb of block memory. Single clocked architecture, use of clock enabling logic and resource sharing in time reduced power consumption to less than 1 watt.
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