[1]邱文胜,牛丽红,苏秉华,等.基于ARM的嵌入式超分辨率复原系统设计[J].深圳大学学报理工版,2015,32(3):311-316.[doi:10.3724/SP.J.1249.2015.0]
　Qiu Wensheng,Niu Lihong,Su Binghua,et al.Design of embedded super-resolution restoration system based on ARM[J].Journal of Shenzhen University Science and Engineering,2015,32(3):311-316.[doi:10.3724/SP.J.1249.2015.0]
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基于ARM的嵌入式超分辨率复原系统设计()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第32卷
期数:
2015年第3期
页码:
311-316
栏目:
光电工程
出版日期:
2015-05-20

文章信息/Info

Title:
Design of embedded super-resolution restoration system based on ARM
文章编号:
201503013
作者:
邱文胜1; 牛丽红1; 苏秉华2; 3; 王源圆2
1）深圳大学光电工程学院，深圳 518060
2）北京理工大学光电学院，北京 100081
3）北京理工大学珠海学院信息学院，广东 珠海 518088
Author(s):
Qiu Wensheng1;  Niu Lihong1;  Su Binghua2; 3;  and Wang Yuanyuan2
1) College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, P.R.China
2) School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, P.R.China
3) Institute of Information, Zhuhai Campus Beijing Institute of Technology, Zhuhai 519088, Guangdong Province, P.R.China
关键词:
图像处理; 超分辨率复原; 高级RISC微处理器; 小波变换; Linux; V4L2接口; 视频图像采集程序; 峰值信噪比
Keywords:
image processing;  super-resolution restoration;  advanced RISC microprocessor (ARM);  wavelet transform;  Linux;  video for Linux two (V4L2) port;  program for video image collecting;  peak signal to noise ratio
分类号:
TP 752.1
DOI:
10.3724/SP.J.1249.2015.0
文献标志码:
A
摘要:
为解决传统插值方法对采集的视频图像放大时易出现块效应和细节退化的问题，在高级RISC微处理器（advanced RISC microprocessor，ARM）平台上设计并搭建基于小波变换算法的嵌入式超分辨率复原系统．以ARM CortexTM-A8处理器（S5PV210）为核心搭建硬件平台，采用嵌入式Linux系统搭建软件开发环境，设计基于V4L2接口的视频图像采集程序．最后将基于小波变换的超分辨率复原算法植入系统．实验证明，该系统处理的视频图像，比传统插值方法处理的视频图像取得了更高的峰值信噪比，能够恢复出更多细节信息．
Abstract:
In order to overcome the disadvantage of the traditional methods for magnifying collected video images by interpolation, we design an embedded super-resolution restoration system based on advanced RISC microprocessor(ARM） and a wavelet transform algorithm. The hardware platform is an ARM CortexTM-A8 processor （S5PV210） as the core processor and the software development environment is embedded Linux. We implement a video image collecting program based on V4L2 and a super-resolution restoration algorithm based on wavelet transformation. Experimental results show that the peak signal to noise ratio (PSNR） is better than those processed by frequently used interpolation methods, and more detail in the images can be restored.

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备注/Memo

备注/Memo:
Received：2015-01-27；Accepted：2015-03-04
Foundation：Special Fund of National Key Scientific Instrument and Equipment Development Projects of China for Image-Converter High Speed Camera (2014YQ230659)
Corresponding author：Professor Niu Lihong．E-mail: NIULH@szu.edu.cn
Citation：Qiu Wensheng，Niu Lihong，Su Binghua，et al．Design of embedded super-resolution restoration system based on ARM［J］. Journal of Shenzhen University Science and Engineering, 2015, 32(3): 311-316.（in Chinese）
更新日期/Last Update: 2015-05-09