ARCHIVES

Original Article

Asynchronous Image Processing Agent Using Java: A Parallel Block-Based Approach with Real-Time Progressive Rendering

Rhea Dhingra1 Alisha Sikri2
1 2 Department of Artificial Intelligence and Data Science, Vivekananda Institute of Professional Studies - Technical Campus, AU Block, Pitampura, New Delhi, India.

Published Online: May-August 2026

Pages: 01-06

References

1. McKelvey, J. and Haydar, A. (2024). Latency effects on user experience: evaluating distributed search systems. Glean Perspectives. [Online].
Available: https://www.glean.com/perspectives/latency-effects-on-user-experience-evaluating-distributed-search-systems
2. Fedortsova, I. (2012). Concurrency in JavaFX. Oracle JavaFX 2 Tutorials and Documentation. [Online]. Available:
https://docs.oracle.com/javafx/2/threads/jfxpub-threads.htm3. Al-Dossari, Y. and Al-Fahad, L. (2024). Java Concurrency Demystified: Thread Pools, CompletableFuture, and Virtual Threads.
International Journal of Informatics and Data Science Research, 1(11), pp. 51-60.
4. Hoffmann, H., Agarwal, A. and Devadas, S. (2009). Partitioning Strategies for Concurrent Programming. MIT Computer Science and
Artificial Intelligence Laboratory Technical Report.
5. Zheng, W. (2023). Current Technologies and Applications of Digital Image Processing. Journal of Biomedical and Sustainable Healthcare
Applications, 3(1), pp. 13-30.
6. Bhoj, A. (2025). Advanced Java Programming: Modern Frameworks, Concurrency Patterns, and Performance Optimization Techniques.
ViXra.
7. Castillo, C. (2013). JavaFX Architecture and Framework. Oracle JavaFX 2 Tutorials and Documentation. [Online]. Available:
https://docs.oracle.com/javafx/2/architecture/jfxpub-architecture.htm
8. Altılar, D.T. and Paker, Y. (2001). Minimum Overhead Data Partitioning Algorithms for Parallel Video Processing. In: Proceedi ngs of the
12th International Conference on Domain Decomposition Methods, pp. 252-260.
9. Nunna, R. (2023). Performance Optimization of .NET Core APIs for High-Concurrency Enterprise Systems Using Asynchronous
Programming Patterns. World Journal of Advanced Engineering Technology and Sciences, 9(1), pp. 504-512.
10. Vayadande, K. et al. (2022). Efficient System for CPU Metric Visualization. 3C TIC: Cuadernos de Desarrollo Aplicados a las TIC, 11(2),
pp. 239-250

Related Articles

2026

Artificial Intelligence in Learning and Teaching

2026

Admin Assist: An AI – Driven Configuration and Orchestration for Enterprise Application

2026

Enhancing Blood Group Identification using pigeon inspired optimization: An Innovative Approach

2026

Eco-Genius: Power Up Smart, Power Down Waste

2026

Crowd-Sourced Disaster Response and Rescue Assistant

2026

Unveiling Deepfake Detection Using Vision Transformers: A Survey and Experimental Study

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20260502001

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.