A New Image Super-Resolution Reconstruction Algorithm Based on Hybrid Diffusion Model
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7189-0_14
Reference17 articles.
1. Yang, X., Xie, T., Liu, L.: Image super-resolution reconstruction based on improved Dirac residual network. Multidimens. Syst. Signal Process. 1–18 (2021)
2. Zhao, X., Zhang, X.: Multi-frame super-resolution reconstruction algorithm of optical remote sensing images based on double regularization terms and unsupervised learning. Int. J. Pattern Recogn. Artif. Intell. 35, 2154002 (2020)
3. Laghrib, A., Hadri, A., Hakim, A.: An edge preserving high-order PDE for multiframe image super-resolution. J. Franklin Inst. 356, 5834–5857 (2019)
4. Khan, A., Khan, M.A.: A novel multi-frame super resolution algorithm for surveillance camera image reconstruction. In: First International Conference on Anti-cybercrime. IEEE (2015)
5. Afraites, L., Hadri, A., Laghrib, A.: A high order PDE-constrained optimization for the image denoising problem. Inverse Probl. Sci. Eng. 1–43 (2020)
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