基于直接简单函数的实时学习超分辨率系统

2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP) Pub Date : 2018-07-01 DOI:10.1109/ASAP.2018.8445121

Daolu Zha, Xi Jin, Rui Shang, Pengfei Yang

{"title":"基于直接简单函数的实时学习超分辨率系统","authors":"Daolu Zha, Xi Jin, Rui Shang, Pengfei Yang","doi":"10.1109/ASAP.2018.8445121","DOIUrl":null,"url":null,"abstract":"This paper proposes a real-time super-resolution (SR) system. The proposed system performs a fast SR algorithm that generates a high-resolution image from a low-resolution image using direct regression functions. The system implemented on a Xilinx Virtex 7 field programmable gate array achieves output resolution of 3840 × 2160 (UHD) at 200 fps and 2000Mpixels/s throughput. Experimental results show that the proposed system provides high image quality for real-time applications.","PeriodicalId":421577,"journal":{"name":"2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Real-Time Learning-Based Super-Resolution System Using Direct Simple Functions\",\"authors\":\"Daolu Zha, Xi Jin, Rui Shang, Pengfei Yang\",\"doi\":\"10.1109/ASAP.2018.8445121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a real-time super-resolution (SR) system. The proposed system performs a fast SR algorithm that generates a high-resolution image from a low-resolution image using direct regression functions. The system implemented on a Xilinx Virtex 7 field programmable gate array achieves output resolution of 3840 × 2160 (UHD) at 200 fps and 2000Mpixels/s throughput. Experimental results show that the proposed system provides high image quality for real-time applications.\",\"PeriodicalId\":421577,\"journal\":{\"name\":\"2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2018.8445121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2018.8445121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一种实时超分辨率(SR)系统。该系统使用直接回归函数从低分辨率图像生成高分辨率图像的快速SR算法。该系统在Xilinx Virtex 7现场可编程门阵列上实现，以200fps和2000Mpixels/s的吞吐量实现3840 × 2160 (UHD)的输出分辨率。实验结果表明，该系统能够提供高质量的实时图像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A Real-Time Learning-Based Super-Resolution System Using Direct Simple Functions

This paper proposes a real-time super-resolution (SR) system. The proposed system performs a fast SR algorithm that generates a high-resolution image from a low-resolution image using direct regression functions. The system implemented on a Xilinx Virtex 7 field programmable gate array achieves output resolution of 3840 × 2160 (UHD) at 200 fps and 2000Mpixels/s throughput. Experimental results show that the proposed system provides high image quality for real-time applications.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2018 IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP)

自引率

0.00%

发文量