首页> 外文会议>IEEE International Conference on Acoustics, Speech and Signal Processing >A 320M PIXEL/S VLSI ARCHITECTURE DESIGN OF WEIGHTED MODE FILTER FOR 4K ULTRA-HD DEPTH UPSAMPLING
【24h】

A 320M PIXEL/S VLSI ARCHITECTURE DESIGN OF WEIGHTED MODE FILTER FOR 4K ULTRA-HD DEPTH UPSAMPLING

机译:用于4K超高清深度上采样的加权模式滤波器的320m Pixel / S VLSI架构设计

获取原文
获取外文期刊封面目录资料

摘要

High-quality and high-resolution depth maps have opened tremendous possibilities for various applications, such as AR/VR display, 3D reconstruction, image refocusing, and view synthesis. But high-resolution depth estimation requires heavy hardware resources. Depth upsampling with weighted mode filtering is an efficient way to overcome this challenge. However, its hardware implementation has two major design issues: large on-chip memory for storing high-precision depth labels and high logic cost for computing adaptive range weight. In this work, we present two techniques, histogram candidate mapping and binary range weight kernel, which can reduce on-chip memory size and logic gate count by 46.9 % and 64.3 % respectively. Furthermore, we also implement a VLSI circuit for 4K Ultra-HD depth video upsampling using TSMC 40nm technology. It has 25.5-KB SRAM and 420K-gate logic, and the core area is 1.1 × 1.1 mm~2. When operating at 200 MHz and 0.9V, it delivers 320M pixel/s to support 4K Ultra-HD depth video at 40 fps, and consumes 104 mW based on post-layout simulation.
机译:高质量和高分辨率的深度图对各种应用开辟了巨大的可能性,例如AR / VR显示屏,3D重建,图像重新焦点和视图合成。但高分辨率深度估计需要重型硬件资源。使用加权模式过滤的深度上采样是克服这一挑战的有效方法。然而,其硬件实现具有两个主要的设计问题:用于存储高精度深度标签的大型片上存储器和用于计算自适应范围重量的高逻辑成本。在这项工作中,我们提出了两种技术,直方图候选映射和二进制范围重量内核,其可以减少片上存储器大小和逻辑门数分别为46.9%和64.3%。此外,我们还使用TSMC 40NM技术实现了用于4K超高清深度视频上采样的VLSI电路。它有25.5 kB SRAM和420k门逻辑,核心区域为1.1×1.1 mm〜2。在200 MHz和0.9V下运行时,它提供320米像素/秒,以支持40 FPS的4K超高度深度视频,并根据后排后仿真消耗104兆瓦。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号