Novel Deep Learning Technique to Improve Resolution of Low-Quality Finger Print Image for Bigdata Applications

被引:0
|
作者
Lisha, P.P. [1 ]
Jayasree, V.K. [2 ]
机构
[1] Govt. Model Engineering College, Kerala, Ernakulam,682021, India
[2] Dept. of Electronics and Communication, Govt. Model Engineering College, Kerala, Ernakulam,682021, India
关键词
Convolution neural network - Finger print - Fingerprint images - High-resolution images - Image super resolutions - Learning techniques - Low resolution images - Lower resolution - Single image super-resolution - Single images;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:718 / 724
相关论文
共 50 条
  • [41] A Deep Learning Approach to Upscaling "Low-Quality" MR Images: An In Silico Comparison Study Based on the UNet Framework
    Sharma, Rishabh
    Tsiamyrtzis, Panagiotis
    Webb, Andrew G.
    Seimenis, Ioannis
    Loukas, Constantinos
    Leiss, Ernst
    Tsekos, Nikolaos, V
    APPLIED SCIENCES-BASEL, 2022, 12 (22):
  • [42] A deep learning model to assess fundus photograph image quality and improve predictive value of deep learning models of glaucoma detection
    Chuter, Benton
    Christopher, Mark
    Fan, Rui
    Belghith, Akram
    Bowd, Christopher
    Brye, Nicole
    Proudfoot, James A.
    Rezapour, Jasmin
    Fazio, Massimo Antonio
    Goldbaum, Michael Henry
    Weinreb, Robert N.
    Girkin, Christopher A.
    Liebmann, Jeffrey M.
    De Moraes, C. Gustavo
    Zangwill, Linda M.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2021, 62 (08)
  • [43] L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data
    Jiang, Linli
    Chen, Chao-Xiong
    Chen, Chao
    ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 2022, 17 (03)
  • [44] Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
    Anushri Parakh
    Jinjin Cao
    Theodore T. Pierce
    Michael A. Blake
    Cristy A. Savage
    Avinash R. Kambadakone
    European Radiology, 2021, 31 : 8342 - 8353
  • [45] Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations
    Parakh, Anushri
    Cao, Jinjin
    Pierce, Theodore T.
    Blake, Michael A.
    Savage, Cristy A.
    Kambadakone, Avinash R.
    EUROPEAN RADIOLOGY, 2021, 31 (11) : 8342 - 8353
  • [46] Image quality improvement in low-dose chest CT with deep learning image reconstruction
    Tian, Qian
    Li, Xinyu
    Li, Jianying
    Cheng, Yannan
    Niu, Xinyi
    Zhu, Shumeng
    Xu, Wenting
    Guo, Jianxin
    JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (12):
  • [47] Cassava disease recognition from low-quality images using enhanced data augmentation model and deep learning
    Abayomi-Alli, Olusola Oluwakemi
    Damasevicius, Robertas
    Misra, Sanjay
    Maskeliunas, Rytis
    EXPERT SYSTEMS, 2021, 38 (07)
  • [48] Optimization and sensitivity analysis of existing deep learning models for pavement surface monitoring using low-quality images
    Roberts, Ronald
    Menant, Fabien
    Di Mino, Gaetano
    Baltazart, Vincent
    AUTOMATION IN CONSTRUCTION, 2022, 140
  • [49] Clinical efficacy of motion-insensitive imaging technique with deep learning reconstruction to improve image quality in cervical spine MR imaging
    Song, You Seon
    Lee, In Sook
    Hwang, Moonjung
    Jang, Kyoungeun
    Wang, Xinzeng
    Fung, Maggie
    BRITISH JOURNAL OF RADIOLOGY, 2024, 97 (1156): : 812 - 819
  • [50] Enhancing Low Quality Face Image Matching by Neurovisually Inspired Deep Learning
    Das, Apurba
    Saha, Pallavi
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2019, PT II, 2019, 11679 : 544 - 555