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SRSubBandNet: A New Deep Learning Scheme for Single Image Super Resolution Based on Subband Reconstruction.

, , and . ISCAS, page 1-5. IEEE, (2019)

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SRNSSI: A Deep Light-Weight Network for Single Image Super Resolution Using Spatial and Spectral Information., , and . IEEE Trans. Computational Imaging, (2021)Ultralight-Weight Three-Prior Convolutional Neural Network for Single Image Super Resolution., , and . IEEE Trans. Artif. Intell., 4 (6): 1724-1738 (December 2023)HighBoostNet: a deep light-weight image super-resolution network using high-boost residual blocks., , , and . Vis. Comput., 40 (2): 1111-1129 (February 2024)Deep Jpeg Image Deblocking Using Residual Maxout Units., , and . ICIP, page 2681-2685. IEEE, (2019)SRNHARB: A deep light-weight image super resolution network using hybrid activation residual blocks., , and . Signal Process. Image Commun., (2021)Development of an Efficient ECG and PPG Signal Processing-based Spoof Detection System using Convolutional Neural Networks., , and . CCECE, page 558-563. IEEE, (2023)Srnmfrb: A Deep Light-Weight Super Resolution Network Using Multi-Receptive Field Feature Generation Residual Blocks., , and . ICME, page 1-6. IEEE, (2020)Compnet: A New Scheme for Single Image Super Resolution Based on Deep Convolutional Neural Network., , and . IEEE Access, (2018)SRNMSM: A Deep Light-Weight Image Super Resolution Network Using Multi-Scale Spatial and Morphological Feature Generating Residual Blocks., , and . IEEE Trans. Broadcast., 68 (1): 58-68 (2022)MorphoNet: A Deep Image Super Resolution Network Using Hierarchical and Morphological Feature Generating Residual Blocks., , and . ISCAS, page 1-5. IEEE, (2021)