Up Sampling of an Image Using Convolution Method

被引:0
|
作者
Singh, Richa [1 ]
Dubey, Ashwani Kumar [2 ]
Kapoor, Rajiv [3 ]
机构
[1] Amity Univ, Amity Inst Informat Technol, Noida, Uttar Pradesh, India
[2] Amity Univ Uttar Pradesh, Amity Sch Engn, Dept Elect & Commun Engn, Noida, UP, India
[3] Ambedkar Inst Adv Commun Technol & Res, Dept Elect & Commun, Delhi, India
来源
2017 6TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) | 2017年
关键词
Convolution; PSNR; RMSE; Up Sampling;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we propose an effective method of up sampling using convolution by interpolating the pixels. Quality needs to be preserved as it gets affected when re sampling is done. Resampling is interpolating a discrete image and continuous image and then sampling of the interpolated image is done. In this paper the image quality is compared using different interpolation key methods like bilinear, nearest neighbour and bucolic using image quality index. The comparison of RMSE and PSNR values is done for up sampled images and found to have minimum value for the up sampling using convolution method. The results on images, based on method proposed, has been shown. From outcome, it is very imperative to say that the proposed method succeeded in its aim to have better image quality index for up sampling.
引用
收藏
页码:636 / 639
页数:4
相关论文
共 50 条
  • [21] Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network
    Ma, Zhongtian
    Jiang, Zhiguo
    Zhang, Haopeng
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [22] Optical fractal image produced by convolution
    Zhang, CJ
    Jin, GJ
    Feng, BH
    Tian, DS
    INTERNATIONAL CONFERENCE ON HOLOGRAPHY AND OPTICAL INFORMATION PROCESSING (ICHOIP '96), 1996, 2866 : 62 - 64
  • [23] General logarithmic image processing convolution
    Palomares, Jose M.
    Gonzalez, Jesus
    Ros, Eduardo
    Prieto, Alberto
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (11) : 3602 - 3608
  • [24] PET IMAGE RECONSTRUCTION USING ANN-EM METHOD
    Iniyatharasi, P.
    Rajasekaran, M. Pallikonda
    Prasath, T. Arun
    Kannan, S.
    ICACCS 2015 PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION SYSTEMS, 2015,
  • [25] Applying Neural Network on Image Up-Sampling to Promote the Efficiency of Texture Matching
    Chung, I-Ling
    Huang, Chiung-Wei
    Chou, Chang-Min
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION (ICASI), 2016,
  • [26] Disk Model Effect for Road Surface Roughness Using Convolution Method
    Yang, Der-Shen
    Zhang, Qianhui
    Xu, Hao
    Sagoe-Crentsil, Kwesi
    Duan, Wenhui
    INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, 2023, 23 (16N18)
  • [27] Crack-JPU – A crack segmentation method using atrous convolution
    Nikhade, G.R.
    Khandelwal, P.
    Sonsare, Pravinkumar
    Yadlapati, Kishore
    Duvvuri, SSSR Sarathbabu
    Measurement: Sensors, 2024, 32
  • [28] Chest X-ray image denoising method based on deep convolution neural network
    Jin, Yan
    Jiang, Xiao-Ben
    Wei, Zhen-kun
    Li, Yuan
    IET IMAGE PROCESSING, 2019, 13 (11) : 1970 - 1978
  • [29] Double image compression and encryption scheme using logistic mapped convolution and cellular automata
    S. Hanis
    R. Amutha
    Multimedia Tools and Applications, 2018, 77 : 6897 - 6912
  • [30] Double image compression and encryption scheme using logistic mapped convolution and cellular automata
    Hanis, S.
    Amutha, R.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (06) : 6897 - 6912