DIGITAL IMAGE COMPRESSION APPROACHES: A CASE STUDY

Authors

  • Firas S. Abdulameer Department of physics, College of Science, Mustansiriyah University, Baghdad, Iraq

Keywords:

Digital images, Visual Quality, Case Study, Compression Approaches

Abstract

Digital images require a vast number of bits to represent them, and their canonical representation typically contains a substantial degree of redundancy. By taking advantage of these redundancies, image compression algorithms lower the number of bits necessary to represent an image. In order to overcome this redundancy, this paper discusses several image compression approaches and their advantages

References

D. He, Y. Zheng, B. Sun, Y. Wang, and H. Qin, "Checkerboard context model for efficient learned image compression," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 14771-14780.

Doaa Mohammed, Fatma Abou-Chadi. “Image Compression using Block Truncation Coding”. JSAT February edition 2011.

David H. Kil and Fances Bongjoo Shin, “ Reduced Dimension Image Compression And its applications,”Image Processing, 1995, Proceedings, International Conference,Vol. 3 , Oct.,1995.

Sindhu M, Raj Kamal R , “ Images and Its Compression

Techniques” , International Journal of Recent Trends in Engineering , Vol 2,No.4, November 2009.

X. Jia, X. Wei, X. Cao, and H. Foroosh, "Comdefend: An efficient image compression model to defend adversarial examples," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019, pp. 6084-6092.

J. Ballé, V. Laparra, and E. P. Simoncelli, "End-to-end optimized image compression," arXiv preprint arXiv:1611.01704, 2016.

F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, and L. V. Gool, "Practical full resolution learned lossless image compression," in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019, pp. 10629-10638.

N. Johnston et al., "Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks," in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 4385-4393.

M. Yang and N. Bourbakis, "An overview of lossless digital image compression techniques," in 48th Midwest Symposium on Circuits and Systems, 2005., 2005, pp. 1099-1102: IEEE.

M. A. Rahman and M. Hamada, "Lossless image compression techniques: A state-of-the-art survey," Symmetry, vol. 11, no. 10, p. 1274, 2019.

Downloads

Published

2023-03-06

How to Cite

Firas S. Abdulameer. (2023). DIGITAL IMAGE COMPRESSION APPROACHES: A CASE STUDY. European Journal of Research Development and Sustainability, 4(3), 1-5. Retrieved from https://scholarzest.com/index.php/ejrds/article/view/3262

Issue

Section

Articles