Optimal deep learning based image compression technique for data transmission on industrial Internet of things applications

Author:

Sujitha Ben1,Parvathy Velmurugan Subbiah2,Lydia E. Laxmi3,Rani Poonam4,Polkowski Zdzislaw5,Shankar K.6ORCID

Affiliation:

1. Department of Computer Science and Engineering; Ponjesly College of Engineering; Nagercoil India

2. Department of Electronics and Communication Engineering; Kalasalingam Academy of Research and Education; Krishnankoil India

3. Computer Science and Engineering; Vignan's Institute of Information Technology; Visakhapatnam India

4. Computer Science and Engineering, Netaji Subhas University Of Technology; Delhi India

5. Technical Sciences, Jan Wyzykowski University; Polkowice Poland

6. Department of Computer Applications; Alagappa University; Karaikudi India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Reference26 articles.

1. Saliency analysis via hyperparameter sparse representation and energy distribution optimization for remote sensing images;Zhang;Remote Sens,2017

2. A new, fast, and efficient image codec based on set partitioning in hierarchical trees;Said;IEEE Trans Circ Syst Video Tech,1996

3. Deep learning model for real-time image compression in internet of underwater things (IoUT);Krishnaraj;J Real-Time Image Process,2019

4. An evolutionary lion optimization algorithm based image compression technique for biomedical applications;Geetha;Exp Syst,2020

5. https://public.ccsds.org/

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