School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China.
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan, China.
Sensors (Basel). 2020 Sep 30;20(19):5600. doi: 10.3390/s20195600.
In this work, a biological retina inspired tone mapping processor for high-speed and energy-efficient image enhancement has been proposed. To achieve high throughput and high energy efficiency, several hardware design techniques have been proposed, including data partition based parallel processing with S-shape sliding, adjacent frame feature sharing, multi-layer convolution pipelining, and convolution filter compression with zero skipping convolution. Implemented on a Xilinx's Virtex7 FPGA, the proposed design achieves a high throughput of 189 frames per second for 1024 × 768 RGB images while consuming 819 mW. Compared with several state-of-the-art tone mapping processors, the proposed design shows higher throughput and energy efficiency. It is suitable for high-speed and energy-constrained image enhancement applications.
本工作提出了一种基于生物视网膜的高速、节能型色调映射处理器，用于图像增强。为实现高吞吐量和高能效，提出了多种硬件设计技术，包括基于 S 型滑动的数据分区并行处理、相邻帧特征共享、多层卷积流水线以及带零跳过卷积的卷积滤波器压缩。该设计在 Xilinx Virtex7 FPGA 上实现，对于 1024×768 RGB 图像，可实现 189 帧/秒的高吞吐量，同时仅消耗 819 mW 功率。与几种现有技术的色调映射处理器相比，该设计具有更高的吞吐量和能效比，适用于高速、节能的图像增强应用。
