@inproceedings{krivenko:hal-01111036,
TITLE = {Prediction Of DCT-Based Denoising Efficiency For Images Corrupted By Signal-Dependent Noise},
AUTHOR = {Krivenko, S. and Lukin, V. and Vozel, Benoit and Chehdi, Kacem},
URL = {https://hal.science/hal-01111036},
BOOK
TITLE = {IEEE 34th International Conference on Electronics and Nanotechnology (ELNANO)},
ADDRESS = {Kiev, Ukraine},
PAGES = {http://www.ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=6873920\&isnumber=6873425},
YEAR = {2014},
MONTH = Apr, DOI = {10.1109/ELNANO.2014.6873920},
KEYWORDS = {discrete cosine transforms ; image denoising ; DCT-based filtering ; MSE ; PSNR-HVS-M ; discrete cosine transform ; hyperspectral sensing ; image denoising efficiency ; radar remote sensing ; signal-dependent noise ; traditional quality criteria ; visual quality metrics ; Accuracy ; Filtering ; Fitting ; Noise ; Noise reduction ; Remote sensing ; DCT ; efficiency prediction},
HAL_ID = {hal-01111036},
HAL_VERSION = {v1},
}