Survey on Image Compression using Machine Learning and Deep Learning

被引:0
|
作者
Patel, Manish, I [1 ]
Suthar, Sirali [1 ]
Thakar, Jil [1 ]
机构
[1] Sankalchand Patel Univ, Dept Elect & Commun Engn, Sankalchand Patel Coll Engn, Visnagar, Gujarat, India
关键词
image compression; machine learning; deep learning; neural network;
D O I
10.1109/iccs45141.2019.9065473
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Machine learning and deep learning techniques are few of the important data analysis methods having interesting property of being able to learn complex feature representation from data. In recent years, machine learning and deep learning techniques have lead to new approaches for large number of applications in a variety of domains. Further, due to large increase in image data, the research activities in image compression continue to preserve bandwidth or storage resources. Various review articles on image compression or data compression is found but this review focus on the research work having combination of traditional compression algorithms and machine learning or deep learning techniques. This help to understand the current trends and future scope in image compression using machine learning or deep learning techniques.
引用
收藏
页码:1103 / 1105
页数:3
相关论文
共 50 条
  • [41] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
    Subramanian, Malliga
    Sathiskumar, Veerappampalayam Easwaramoorthy
    Deepalakshmi, G.
    Cho, Jaehyuk
    Manikandan, G.
    ALEXANDRIA ENGINEERING JOURNAL, 2023, 80 : 110 - 121
  • [42] Crop Seeds Classification Using Traditional Machine Learning and Deep Learning Techniques: A Comprehensive Survey
    Vipin Kumar
    Prem Shankar Singh Aydav
    Sonajharia Minz
    SN Computer Science, 5 (8)
  • [43] A comprehensive survey on weed and crop classi fi cation using machine learning and deep learning
    Adhinata, Faisal Dharma
    Wahyono
    Sumiharto, Raden
    ARTIFICIAL INTELLIGENCE IN AGRICULTURE, 2024, 13 : 45 - 63
  • [44] Securing internet of things using machine and deep learning methods: a survey
    Ghaffari, Ali
    Jelodari, Nasim
    Pouralish, Samira
    Derakhshanfard, Nahide
    Arasteh, Bahman
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (07): : 9065 - 9089
  • [45] Deep machine learning for STEM image analysis
    Nartova, Anna, V
    Matveev, Andrey, V
    Kovtunova, Larisa M.
    Okunev, Aleksey G.
    MENDELEEV COMMUNICATIONS, 2024, 34 (06) : 774 - 775
  • [46] Printed Circuit Board Defect Detection Methods Based on Image Processing, Machine Learning and Deep Learning: A Survey
    Ling, Qin
    Isa, Nor Ashidi Mat
    IEEE ACCESS, 2023, 11 : 15921 - 15944
  • [47] Image cyberbullying detection and recognition using transfer deep machine learning
    Almomani A.
    Nahar K.
    Alauthman M.
    Al-Betar M.A.
    Yaseen Q.
    Gupta B.B.
    International Journal of Cognitive Computing in Engineering, 2024, 5 : 14 - 26
  • [48] Methods and Algorithms for Image Compression Based on Machine Learning
    Gashnikov, M. V.
    Chubar, M. A.
    Yakubenko, M. A.
    OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING, 2022, 58 (05) : 495 - 502
  • [49] Methods and Algorithms for Image Compression Based on Machine Learning
    M. V. Gashnikov
    M. A. Chubar
    M. A. Yakubenko
    Optoelectronics, Instrumentation and Data Processing, 2022, 58 : 495 - 502
  • [50] Deep learning in medical image registration: a survey
    Grant Haskins
    Uwe Kruger
    Pingkun Yan
    Machine Vision and Applications, 2020, 31