Graph Regularized Dictionary for Single Image Super-resolution

被引：0
|
作者：
Zeng, Lei [1 ]
Ma, Shiqi [1 ]
Li, Xiaofeng [1 ]
机构：
[1] UESTC, Sch Commun & Informat Engn, Chengdu 611731, Sichuan, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PROBLEM-SOLVING (ICCP) | 2013年
关键词：
graph regularized dictionary; super resolution; sparse representation; joint dictionary training;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Super-resolution (SR) for single image is wild used in image processing areas. The learning-based methods use the co-trained dictionaries which contain low resolution and corresponding high resolution images to conduct SR. In this paper, a new dictionary for SR is proposed which adds the graph information between patches. Simulation results show that our scheme improved the dictionary and outperforms the existing classic SR algorithms in both subjective visually and quantitative evaluations.
引用
收藏
页码：257 / 259
页数：3
相关论文
共 50 条
  • [41] Coupled dictionary learning in wavelet domain for Single-Image Super-Resolution
    Ahmed, Junaid
    Waqas, Muhammad
    Ali, Shamshad
    Memon, Raheel Ahmed
    Klette, Reinhard
    [J]. SIGNAL IMAGE AND VIDEO PROCESSING, 2018, 12 (03) : 453 - 461
  • [42] Single Image Super-Resolution Based on Sparse Representation with Adaptive Dictionary Selection
    Li, Xin
    Chen, Jie
    Cui, Ziguan
    Wu, Minghu
    Zhu, Xiuchang
    [J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2016, 30 (07)
  • [43] Single Image Super-Resolution using Compressive Sensing with Learned Overcomplete Dictionary
    Deka, Bhabesh
    Gorain, Kanchan Kumar
    Kalita, Navadeep
    Das, Biplab
    [J]. 2013 FOURTH NATIONAL CONFERENCE ON COMPUTER VISION, PATTERN RECOGNITION, IMAGE PROCESSING AND GRAPHICS (NCVPRIPG), 2013,
  • [44] Single Image Super-Resolution Using Dictionary-Based Local Regression
    Ram, Sundaresh
    Rodriguez, Jeffrey J.
    [J]. 2014 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI 2014), 2014, : 121 - 124
  • [45] SINGLE DEPTH IMAGE SUPER-RESOLUTION WITH MULTIPLE RESIDUAL DICTIONARY LEARNING AND REFINEMENT
    Zhao, Lijun
    Bai, Huihui
    Liang, Jie
    Wang, Anhong
    Zhao, Yao
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2017, : 739 - 744
  • [46] Group-based single image super-resolution with online dictionary learning
    Lu, Xuan
    Wang, Dingwen
    Shi, Wenxuan
    Deng, Dexiang
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2016,
  • [47] COUPLED DICTIONARY LEARNING FOR MULTIMODAL IMAGE SUPER-RESOLUTION
    Song, Pingfan
    Mota, Joao F. C.
    Deligiannis, Nikos
    Rodrigues, Miguel R. D.
    [J]. 2016 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP), 2016, : 162 - 166
  • [48] Distance Selection for Image Super-Resolution by Dictionary Optimization
    Zhang, Jianguang
    Li, Yongxia
    Li, Jing
    Liu, Baoying
    [J]. 2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 140 - 144
  • [49] Image Super-Resolution Based on MCA and Dictionary Learning
    Zhang, Kun
    Yin, Hongpeng
    Chai, Yi
    [J]. PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL 2, 2016, 360 : 75 - 84
  • [50] A novel regularized K-SVD dictionary learning based medical image super-resolution algorithm
    Jingjing Yang
    Xiao Zhang
    Wei Peng
    Zhanbiao Liu
    [J]. Multimedia Tools and Applications, 2016, 75 : 13107 - 13120
12345