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Denoising Prior Driven Deep Neural Network for Image Restoration., , , , , and . CoRR, (2018)ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning., , , , and . CoRR, (2018)Learning-based recovery of compressive sensing with application in multiple description coding., , , and . MMSP, page 1-5. IEEE, (2009)Context-based bias removal of statistical models of wavelet coefficients for image denoising., , , and . ICIP, page 3841-3844. IEEE, (2009)Lightweight Image Super-Resolution with Hierarchical and Differentiable Neural Architecture Search., , , , , and . CoRR, (2021)Superresolution Image Reconstruction: Selective milestones and open problems., , , , and . IEEE Signal Process. Mag., 40 (5): 54-66 (July 2023)Searching Efficient Model-Guided Deep Network for Image Denoising., , , and . IEEE Trans. Image Process., (2023)Contrastive Self-Supervised Pre-Training for Video Quality Assessment., , , , and . IEEE Trans. Image Process., (2022)Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention., , , , , and . ICCV, page 12106-12115. IEEE, (2023)MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment., , , , and . CVPR, page 14131-14140. Computer Vision Foundation / IEEE, (2020)