A Real-Time FHD Learning-Based Super-Resolution System Without a Frame Buffer

被引：22

作者：

Yang, Ming-Che ^{[1
,2
]}

Liu, Kuan-Ling ^{[1
,2
]}

Chien, Shao-Yi ^{[1
,2
]}

机构：

[1] Natl Taiwan Univ, Grad Inst Elect Engn, Taipei 106, Taiwan

[2] Natl Taiwan Univ, Dept Elect Engn, Taipei 106, Taiwan

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2017年 / 64卷 / 12期

关键词：

Super resolution; anchored neighborhood regression; real-time; FPGA;

D O I：

10.1109/TCSII.2017.2749336

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This brief presents a real-time learning-based super-resolution (SR) system without a frame buffer. The system running on an Altera Stratix IV field programmable gate array can achieve output resolution of 1920 x 1080 (FHD) at 60 fps. The proposed architecture performs an anchored neighborhood regression algorithm that generates a high-resolution image from a low-resolution image input using only numbers of line buffers. This real-time system without a frame buffer makes it possible to integrate SR operation into image sensors or display drivers carrying out computational photography and display.

引用

页码：1407 / 1411

页数：5