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Enhancement of Component Images of Multispectral Data by Denoising with Reference.

, , , , , и . Remote. Sens., 11 (6): 611 (2019)

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Hermann Ußleber

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Otto Usslar

 

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Efficiency of texture image enhancement by DCT-based filtering., , , , , и . Neurocomputing, (2016)Blind estimation of signal-dependent noise parameters for color image database., , , , , и . EUVIP, стр. 82-87. IEEE, (2013)Enhancement of Component Images of Multispectral Data by Denoising with Reference., , , , , и . Remote. Sens., 11 (6): 611 (2019)Joint Estimation of Multiplicative and Impulsive Noise Parameters in Remote Sensing Images with Fractal Structure., , , , и . ICASSP (1), стр. 581-584. IEEE, (2007)NoiseNet: Signal-Dependent Noise Variance Estimation with Convolutional Neural Network., , , и . ACIVS, том 11182 из Lecture Notes in Computer Science, стр. 414-425. Springer, (2018)Selection of a Similarity Measure Combination for a Wide Range of Multimodal Image Registration Cases., , , и . IEEE Trans. Geosci. Remote. Sens., 59 (1): 60-75 (2021)Efficient Rotation-Scaling-Translation Parameter Estimation Based on the Fractal Image Model., , , и . IEEE Trans. Geosci. Remote. Sens., 54 (1): 197-212 (2016)Image noise-informative map for noise standard deviation estimation., , , , и . ICASSP, стр. 961-964. IEEE, (2011)Estimation of Variance and Spatial Correlation Width for Fine-Scale Measurement Error in Digital Elevation Model., , , и . IEEE Trans. Geosci. Remote. Sens., 58 (3): 1941-1956 (2020)Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images., , , и . IEEE J. Sel. Top. Signal Process., 5 (3): 469-486 (2011)