Prediction of Quality in DCT-Based Lossy Compression of Noisy Remote Sensing Images
- DOI
- 10.1109/elnano.2017.7939794
- Published
- 2017
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- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1109/elnano.2017.7939794,
title = {Prediction of Quality in DCT-Based Lossy Compression of Noisy Remote Sensing Images},
author = {S. Abramov and V. Lukin and A. Zemliachenko and B. Vozel and K. Chehdi},
year = {2017},
doi = {10.1109/elnano.2017.7939794},
url = {https://doi.org/10.1109/elnano.2017.7939794}
}RIS
TY - JOUR TI - Prediction of Quality in DCT-Based Lossy Compression of Noisy Remote Sensing Images AU - S. Abramov AU - V. Lukin AU - A. Zemliachenko AU - B. Vozel AU - K. Chehdi PY - 2017 DO - 10.1109/elnano.2017.7939794 UR - https://doi.org/10.1109/elnano.2017.7939794 ER -
APA
Abramov, S., Lukin, V., Zemliachenko, A., Vozel, B., & Chehdi, K. (2017). Prediction of Quality in DCT-Based Lossy Compression of Noisy Remote Sensing Images. https://doi.org/10.1109/elnano.2017.7939794
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- hal · retrieved 2026-09-26T19:40:07.824Z