Image Compression Based on Deep Learning: A Review
Hajar Maseeh Yasin, Adnan Mohsin Abdulazeez
Asian Journal of Research in Computer Science · pp. 62–76 · Published 1 May 2021
10.9734/ajrcos/2021/v8i130193Abstract
Image compression is an essential technology for encoding and improving various forms of images in the digital era. The inventors have extended the principle of deep learning to the different states of neural networks as one of the most exciting machine learning methods to show that it is the most versatile way to analyze, classify, and compress images. Many neural networks are required for image compressions, such as deep neural networks, artificial neural networks, recurrent neural networks, and convolution neural networks. Therefore, this review paper discussed how to apply the rule of deep learning to various neural networks to obtain better compression in the image with high accuracy and minimize loss and superior visibility of the image. Therefore, deep learning and its application to different types of images in a justified manner with distinct analysis to obtain these things need deep learning.
Cited by 35
Giorgia Guerrisi, F. Del Frate, G. Schiavon · IEEE International Geoscience and Remote Sensing Symposium · 2022
O. S. Kareem, A. Abdulazeez, Diyar Qader Zeebaree · Asian Journal of Research in Computer Science · 2021
D. Naidu, Phanindra Varma, K. Reddy · IEEE Access · 2026
Andri Agustav Wirabudi, Heeji Han, Haechul Choi · IEEE Access · 2026
Hoseung Kim, Minho Park, Seung-Kwang Hong · IEEE Access · 2023
Giorgia Guerrisi, F. Del Frate, G. Schiavon · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2023
H. Yaseen, S. Ameen
P. Nithya, T. Vengattaraman, M. Sathya
P S Hitha, G. K Ragesh, R Anish · 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS) · 2021
Shaiba Akhter, Anupam Upadhaya, Rupaban Subadar · Lecture Notes in Electrical Engineering · 2025
Related research
- Automatic Segmentation of Organ at Risk in Head and Neck Cancer CT Images Using Medical Open Network for Artificial Intelligence (MONAI) with Deep Learning Techniques — shares topic coverage
- Diagnostic Accuracy of Artificial Intelligence for Breast Cancer Detection: A Systematic Review — shares topic coverage
- Leveraging Deep Learning Algorithms for Predicting Power Outages and Detecting Faults: A Review — shares topic coverage
- Bridging Prenatal Diagnostics and AI: A Systematic Review and Meta-Analysis of the Efficacy of Advanced Algorithms in Identifying Congenital Fetal Abnormalities — shares topic coverage
- Applications of Deep Learning in Predicting the Risk of Metabolic Syndrome from Lifestyle and Behavioral Factors: A Scoping Review — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
35
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.