THE STUDY OF FUSION AND SUPER-RESOLUTION RECONSTRUCTION BASED ON PARTICLE SWARM OPTIMIZATION AND WAVELET ANALYSIS

被引：0
|
作者：
Wang, Senhua [1 ]
Ma, Zhenli [2 ]
Wan, Ping [1 ]
Cui, Hao [1 ]
Liu, Bo [1 ]
机构：
[1] Army Logist Univ PLA, Mil Logist Dept, Chongqing, Peoples R China
[2] Army Logist Univ PLA, Oil Dept, Chongqing, Peoples R China
来源：
2017 14TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP) | 2017年
基金：
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词：
Wavelet Analysis; The Particle Swarm; Super-Resolution Reconstruction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The image super-resolution reconstruction can be widely used in military, medicine, transportation, etc. Due to the unfavorable factors, such as noises and obstacles, of the low resolution images, the influence of noises or the obstacles can be amplified by the super-resolution reconstruction. For this reason, the wavelet analysis were combined with the particle swarm optimization algorithm in this paper. Through the wavelet and particle swarm de-noising and registration on the original low resolution images, the super resolution reconstruction image can be obtained after the image fusion, and the results are better than traditional methods.
引用
收藏
页码：201 / 205
页数：5
相关论文
共 50 条
  • [1] Learning-Based Video Super-Resolution Reconstruction Using Particle Swarm Optimization
    Chen, Hsuan-Ying
    Leou, Jin-Jang
    2011 IEEE 13TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP), 2011,
  • [2] THE STUDY OF SUPER-RESOLUTION RECONSTRUCTION BASED ON VISUAL ATTENTION AND WAVELET ANALYSIS
    Wang, Senhua
    Song, Zhi-Qiang
    Zhang, Li
    Li, Xiangzhong
    Wang, Zhaoxia
    2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 295 - 298
  • [3] Super-resolution acoustic focusing based on the particle swarm optimization of super-oscillation
    Li, Xin-Peng
    Cao, Rui-Jie
    Li, Ming
    Guo, Ge-Pu
    Li, Yu-Zhi
    Ma, Qing-Yu
    ACTA PHYSICA SINICA, 2022, 71 (20)
  • [4] Super-resolution Reconstruction Algorithms Based on Fusion of Deep Learning Mechanism and Wavelet
    Zhang, Qi
    Wang, Huafeng
    Du, Tao
    Yang, Sichen
    Wang, Yuehai
    Xing, Zhiqiang
    Bai, Wenle
    Yi, Yang
    2019 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND PATTERN RECOGNITION (AIPR 2019), 2019, : 102 - 107
  • [5] Super-resolution reconstruction algorithm based on deep learning mechanism and wavelet fusion
    Yang S.
    Wang H.
    Wang Y.
    Li J.
    Wang Y.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 46 (01): : 189 - 197
  • [6] Regularized super-resolution reconstruction of images using wavelet fusion
    El-Khamy, SE
    Hadhoud, MM
    Dessouky, MI
    Salam, BM
    El-Samie, FEA
    OPTICAL ENGINEERING, 2005, 44 (09)
  • [7] Zoom Based Super-Resolution: A Fast Approach Using Particle Swarm Optimization
    Gajjar, Prakash
    Joshi, Manjunath
    IMAGE AND SIGNAL PROCESSING, PROCEEDINGS, 2010, 6134 : 63 - 70
  • [8] A Mixed Particle Swarm Optimization Algorithm's Application in Image/Video Super-Resolution Reconstruction
    Yu, Wenjing
    Zhang, Mingjun
    2017 2ND INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC 2017), 2017, : 526 - 530
  • [9] Image super-resolution reconstruction based on wavelet domain
    Dong Ben-zhi
    Yu Ming-cong
    Zhao Peng
    CHINESE JOURNAL OF LIQUID CRYSTALS AND DISPLAYS, 2021, 36 (02) : 317 - 326
  • [10] A super-resolution reconstruction algorithm based on feature fusion
    Wang, Lin
    Yang, Siqi
    Jia, Jingqian
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 3060 - 3065
12345