A GPU-BASED IMPLEMENTATION ON SUPER-RESOLUTION RECONSTRUCTION

被引：0

作者：

Wang, Kai ^{[1
]}

Wang, Lifu ^{[1
]}

Lu, Jian ^{[1
]}

Sun, Yi ^{[1
]}

Zhao, Shuping ^{[2
]}

机构：

[1] Dalian Univ Technol, Dalian, Peoples R China

[2] Dalian Ocean Univ, Dalian, Peoples R China

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年

关键词：

super-resolution; GPU computing; CUDA;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Super-resolution reconstruction (SRR) proposes a fusion of several low-quality images into one higher quality result with better optical resolution. However, due to the vast amount of calculation of the SRR algorithm, its implementation is too slow. In this paper, we present a GPU-based parallel implementation on SRR algorithm. The compute unified device architecture (CUDA) is a programming approach for performing scientific calculations on a graphics processing unit (GPU) as a data-parallel computing device. The proposed GPU-based implementation using CUDA is up to approximately 200 times faster than the corresponding optimized CPU counterparts.

引用

页码：849 / 852

页数：4

共 50 条

[1] Parallel Implementation of Super-Resolution Based Neighbor Embedding Using GPU
Moustafa, Marwa
Ebeid, Hala M.
Helmy, Ashraf
Nazamy, Taymoor M.
Tolba, Mohamed F.
[J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2016, 2017, 533 : 628 - 638
[2] An effective GPU-based random grid secret sharing using an autoencoder image super-resolution
Holla, M. Raviraja
Suma, D.
[J]. COGENT ENGINEERING, 2024, 11 (01):
[3] Super-resolution reconstruction based on regularization
School of Electronic Engineering and Optoelectronic Techniques, Nanjing University of Science and Technology, Nanjing 210094, China
不详
不详
[J]. Dianzi Yu Xinxi Xuebao, 2007, 7 (1713-1716):
[4] Implementation schemes of regularization super-resolution image reconstruction
Yan, Hua
Liu, Ju
[J]. 2007 IEEE WORKSHOP ON SIGNAL PROCESSING SYSTEMS, VOLS 1 AND 2, 2007, : 615 - +
[5] Block Matching Super-Resolution Parallel GPU Implementation for Computational Imaging
Marenzi, E.
Torti, E.
Leporati, F.
Quevedo, E.
Callico, G. M.
[J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2017, 63 (04) : 368 - 376
[6] Non-Local DWI Image Super-Resolution with Joint Information Based on GPU Implementation
Guo, Yanfen
Cui, Zhe
Yang, Zhipeng
Wu, Xi
Madani, Shaahin
[J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 61 (03): : 1205 - 1215
[7] Efficient Implementation of Iterative Adaptive Approach Based on GPU Framework for Radar Super-resolution Imaging
Li, Jie
Zhang, Yongwei
Zhang, Yongchao
Mao, Deqing
Huang, Yulin
Yang, Jianyu
[J]. 2021 IEEE RADAR CONFERENCE (RADARCONF21): RADAR ON THE MOVE, 2021,
[8] Confidence map based super-resolution reconstruction
El Hakimi, Wissam
Wesarg, Stefan
[J]. MEDICAL IMAGING 2012: IMAGE PROCESSING, 2012, 8314
[9] A GPU-Based Implementation of ADMIRE
Khan, Christopher
Dei, Kazuyuki
Byram, Brett
[J]. 2019 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2019, : 1501 - 1504
[10] GPU-ACCELERATED NON-LOCAL MEANS SUPER-RESOLUTION RECONSTRUCTION
Sun, Kongzheng
Li, Jiade
Xu, Shuyan
[J]. PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON MULTIMEDIA TECHNOLOGY (ICMT-13), 2013, 84 : 1242 - 1249

← 1 2 3 4 5 →