A5026226117- Advanced Image Processing Techniques
- Image Processing Techniques and Applications
- Advanced Vision and Imaging
- Advanced Image Fusion Techniques
Guilin University of Electronic Technology
2021
Recent advances in single image super-resolution (SISR) demonstrate the power of deep learning for achieving better performance. Because it is costly to recollect training data and retrain model infrared (IR) super-resolution, availability only a few samples restoring IR images presents an important challenge field SISR. To solve this problem, we first propose progressive generative adversarial network (PSRGAN) that includes main path branch path. The depthwise residual block (DWRB) used...
Recently, improved performance has been achieved in image super-resolution (SR) by using deep convolutional neural networks (CNNs). However, most existing neglect the feature correlations of adjacent layers, causing features at different levels to not be fully utilized. In this paper, a novel difference value network (DVN) is proposed address problem. The makes full use values (D-values) layers. Specifically, block (DVB) designed extract extracted can highlight which regions should paid more...