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Super-resolving barcode images with an edge-preserving variational Bayesian framework.

, , , , and . J. Electronic Imaging, 25 (3): 033016 (2016)

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Multi-fidelity and learning-regularization for single image super resolution., , and . J. Frankl. Inst., 359 (9): 4489-4512 (2022)Salt and Pepper Noise Removal Method Based on a Detail-Aware Filter., , and . Symmetry, 13 (3): 515 (2021)GAF-GAN: Gated Attention Feature Fusion Image Inpainting Network Based on Generative Adversarial Network., , , and . ICPADS, page 2682-2689. IEEE, (2023)The NAMlet transform: A novel image sparse representation method based on non-symmetry and anti-packing model., , , and . Signal Process., (2017)Salt and Pepper Noise Suppression for Medical Image by Using Non-local Homogenous Information., and . Cognitive Internet of Things, volume 810 of Studies in Computational Intelligence, Springer, (2019)MLSR: Missing information-based fidelity and learned regularization for single-image super-resolution., and . Comput. Electr. Eng., (2022)Image super resolution via multi-regularization combining hybrid Tikhonov-TV prior and deep denoiser prior., , , , and . ICTAI, page 829-835. IEEE, (2023)WPNet: Wide Pyramid Network for Recognition of HER2 Expression Levels in Breast Cancer Evaluation., , , and . IJCNN, page 1-9. IEEE, (2022)GA-Net: Gated Attention Mechanism Based Global Refinement Network for Image Inpainting., , and . ICPADS, page 2812-2813. IEEE, (2023)LDVNet: Lightweight and Detail-Aware Vision Network for Image Recognition Tasks in Resource-Constrained Environments., , , and . ICPADS, page 2673-2681. IEEE, (2023)