Abstract: Highlights•A transformer-based neural network for blind image super resolution is proposed.•Hybrid representations of blurring kernel are utilized in the network architecture.•Network parameters interpolation technique is employed for reducing the complexity.•Superior blind image super resolution performance is achieved.
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