Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference26 articles.
1. Chiranjeevi, K., & Jena, U. R. (2016). Image compression based on vector quantization using cuckoo search optimization technique. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2016.09.009.
2. Latha, P. M., & Fathima, A. A. (2018). Collective compression of images using averaging and transform coding. Measurement. https://doi.org/10.1016/j.measurement.2018.12.035.
3. Patel R., Kumar V., Tyagi V., & Asthana V. (2016). A fast and improved image compression technique using huffman coding. In International conference on wireless communications, signal processing and networking (WiSPNET). (PP. 2283–2286), IEEE.
4. Almurib, H. A. F., Kumar, T. N., & Lombardi, F. (2017). Approximate DCT image compression using inexact computing. IEEE Transactions on Computers. https://doi.org/10.1109/TC.2017.2731770.
5. Matai J., Kim J.Y., Kastner R. (2014). Energy efficient canonical Huffman encoding, In 25th International conference on application specific systems, architecture and processors, zurich, switcherland (pp.202–209), IEEE.
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献