Abstract
There has been an increasing demand to store a large quantity of images generated in social media, eHealth, and other popular domains. Due to the rapid uses of digital images, an efficient and faster compression technique is needed for any cloud-based applications. This paper introduces and describes an idea of compressing images using a distributed system to reduce the storage requirement of data (with images). The proposed strategy can provide storage efficiency with an easier way to compress and reconstruct the image in future when needed.
| Original language | English |
|---|---|
| Title of host publication | 2019 International Conference on Sustainable Technologies for Industry 4.0, STI 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728160979 |
| DOIs | |
| State | Published - Dec 2019 |
| Externally published | Yes |
Publication series
| Name | 2019 International Conference on Sustainable Technologies for Industry 4.0, STI 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Distributed system
- Image compression
- Map-reduce
ASJC Scopus subject areas
- Information Systems and Management
- Renewable Energy, Sustainability and the Environment
- Health Informatics
- Education
- Agronomy and Crop Science
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications