Each image was converted to YCrCb format, and only the luminance channel (Y) was used. This model can be extended to use the other channels as well. Extract sub-images: From the 91 images, sub-images ...

Abstract: Deep learning methods have shown excellent performance in many applications, including the field of image super-resolution. To address the issues of fixed receptive fields, potential neglect ...

A deep learning project that upsamples low-resolution images (200×200) into high-resolution images (400×400) using a fully convolutional encoder–decoder network built with PyTorch. This project ...