Image Interpolation Algorithm Based on Texture Complexity and Gradient Optimization
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20738-9_78
Reference17 articles.
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2. Pawar, M., Marab, S.: A novel edge boosting approach for image super-resolution. Evolutionary Intell (2021) (prepublish)
3. Hardiansyah, B., Lu, Y.: Single image super-resolution via multiple linear mapping anchored neighborhood regression. Multimedia Tools Appl. (2021)
4. Jiahao, L.: Analysis and comparison of three classical color image interpolation algorithms. J Phys.: Conference Series. 1802(3) (2021)
5. Du, H., Zhang, Y., Bao, F., Wang, P., Zhang, C.: A texture preserving image interpolation algorithm based on rational function. Inter. J. Multi. Data Eng. Manag. (IJMDEM) 9(2) (2018)
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1. A guided optimized recursive least square adaptive filtering based multi-variate dense fusion network model for image interpolation;Signal, Image and Video Processing;2023-10-25
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