Deep learning method on X-ray image super-resolution based on residual mode encoder-decoder network
Khan Irfana Begum, G. Surya Narayana, Ch. Chulika, Ch. Yashwanth · 2023
Deep learning aims to improve the resolution of bicubically damaged images. These existing approaches do not work well for actual single super-resolution. To encode incredibly effective features and to regenerate high-quality images, we introduce an encoder-decoder residual network (EDRN) for a real single image super-resolution (SISR).