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Selection of Lee Filter Window Size Based on Despeckling Efficiency Prediction for Sentinel SAR Images.

, , , and . Remote. Sens., 13 (10): 1887 (2021)

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Efficiency of texture image filtering and its prediction., , , , , and . Signal Image Video Process., 10 (8): 1543-1550 (2016)Speckle reducing for Sentinel-1 SAR data., , , , , , and . IGARSS, page 2353-2356. IEEE, (2017)Prediction of Despeckling Efficiency of DCT-Based Filters Applied to SAR Images., , and . DCOSS, page 159-168. IEEE Computer Society, (2015)Blind Prediction of Original Image Quality for Sentinel Sar Data., , , , and . EUVIP, page 105-110. IEEE, (2019)Prediction of performance of 2D DCT-based filter and adaptive selection of its parameters., , , and . IQSP, Society for Imaging Science and Technology, (2020)Lossy Compression of Three-Channel Remote Sensing Images with "Color" Component Downscaling., , , , , and . IGARSS, page 2215-2218. IEEE, (2022)Blind DCT-based prediction of image denoising efficiency using neural networks., , , and . EUVIP, page 1-6. IEEE, (2018)Lossy Compression of Multichannel Remote Sensing Images with Quality Control., , , , , , , , and . Remote. Sens., 12 (22): 3840 (2020)Is Texture Denoising Efficiency Predictable?, , , , , and . Int. J. Pattern Recognit. Artif. Intell., 32 (1): 1860005:1-1860005:32 (2018)Additive spatially correlated noise suppression by robust block matching and adaptive 3D filtering (JIST-first)., , and . Image Processing: Algorithms and Systems, Society for Imaging Science and Technology, (2019)