An Efficient Compression of Gray Scale Images Using Wavelet Transform
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-09859-9.pdf
Reference35 articles.
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3. 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
4. Zemliachenko, A. N., Kozhemiakin, R. A., Abramov, S. K., Lukin, V. V., Vozel, B., Chehdi, K., & Egiazarian, K. O. (2018). Prediction of compression ratio for DCT-based coders with application to remote sensing images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(1), 257–270. https://doi.org/10.1109/JSTARS.2017.2781906
5. Song, X., Huang, Q., Chang, S., He, J., & Wang, H. (2017). Three‐dimensional separate descendant‐based SPIHT algorithm for fast compression of high‐resolution medical image sequences. IET Image Processing, 11(1), 80–87. https://doi.org/10.1049/iet-ipr.2016.0564
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