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Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics., , , , , и . IEEE Trans. Multim., 20 (11): 3019-3032 (2018)Context-based bias removal of statistical models of wavelet coefficients for image denoising., , , и . ICIP, стр. 3841-3844. IEEE, (2009)Learning-based recovery of compressive sensing with application in multiple description coding., , , и . MMSP, стр. 1-5. IEEE, (2009)A learning-based method for compressive image recovery., , , и . J. Vis. Commun. Image Represent., 24 (7): 1055-1063 (2013)Denoising Prior Driven Deep Neural Network for Image Restoration., , , , , и . CoRR, (2018)ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning., , , , и . CoRR, (2018)GUN: Gradual Upsampling Network for single image super-resolution., , , , , , и . CoRR, (2017)Transfer learning for just noticeable difference estimation., , , , и . Inf. Sci., (ноября 2023)Robust Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image and Video Denoising., , , , и . IEEE J. Sel. Top. Signal Process., 12 (6): 1435-1448 (2018)End-to-End Blind Image Quality Prediction With Cascaded Deep Neural Network., , , , , и . IEEE Trans. Image Process., (2020)