Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing Images

Document type :
Journal articles
Complete list of metadatas

https://hal-univ-rennes1.archives-ouvertes.fr/hal-02135679
Contributor : Benoit Vozel <>
Submitted on : Tuesday, May 21, 2019 - 3:00:37 PM
Last modification on : Friday, August 9, 2019 - 2:26:02 PM

Identifiers

Citation

Alexander Zemliachenko, Ruslan Kozhemiakin, Sergey Abramov, Vladimir Lukin, Benoit Vozel, et al.. 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, IEEE, 2018, 11 (1), pp.257-270. ⟨10.1109/JSTARS.2017.2781906⟩. ⟨hal-02135679⟩

Share

Metrics

Record views

31