WebJul 10, 2024 · In this paper, we develop an enhanced deep super-resolution network (EDSR) with performance exceeding those of current state-of-the-art SR methods. The significant performance improvement of our model is due to optimization by removing unnecessary modules in conventional residual networks. WebJul 3, 2024 · The super-resolution network In this work, our network uses FSRCNN as the basic structure to generate fractional pixels. The structure of FSRCNN is shown in Fig. 2. As shown in Fig. 2, FSRCNN consists of five parts: feature extraction, contraction, mapping, expansion and deconvolution.
A Dynamic Fusion of Local and Non-Local Features-Based Feedback Network …
WebAn enhanced deep super-resolution (SR) neural network and a convolutional neural network are constructed and trained to establish the mapping relationship between low- and high … WebIn this paper, we present SRGAN, a generative adversarial network (GAN) for image super-resolution (SR). To our knowledge, it is the first framework capable of inferring photo-realistic natural images for 4x upscaling factors. To achieve this, we propose a perceptual loss function which consists of an adversarial loss and a content loss. ... differences between nhs wales and nhs england
Accelerating the Super-Resolution Convolutional Neural Network
WebApr 14, 2024 · The super-resolution (SR) method [ 6] for face images is a simple strategy that can be used to address this problem by recovering a LR face image L in the same … WebMar 1, 2024 · Abstract. Deep convolutional neural networks significantly improve the performance of single image super-resolution (SISR). Generally, larger networks (i.e., deeper and wider) have better performance. WebApr 10, 2024 · Convolutional neural networks (CNNs) have been utilized extensively to improve the resolution of weather radar. Most existing CNN-based super-resolution algorithms using PPI (Plan position indicator, which provides a maplike presentation in polar coordinates of range and angle) images plotted by radar data lead to the loss of some … differences between new zealand and australia