A guided optimized recursive least square adaptive filtering based multi-variate dense fusion network model for image interpolation

Recently, learning-based image interpolation methods have gained significant popularity in the field of surveillance image processing due to their promising results. Notably, deep neural networks have shown considerable improvements in image super-resolution. To enhance the performance of image inte...

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