Gradient pooling distillation network for lightweight single image super-resolution reconstruction.

ABSTRACT: The single image super-resolution (SISR) is a classical problem in the field of computer vision, aiming to enhance high-resolution details from low-resolution images. In recent years, significant progress about SISR has been achieved through the utilization of deep learning technology. However, these deep methods often exhibit large-scale networks architectures, which are computationally intensive and hardware-demanding, and this limits their practical application in some scenarios (e.g., autonomous driving, streaming media) requiring stable and efficient image transmission with high-definition picture quality. In such application settings, computing resources are often restricted. Thus, there is a pressing demand to devise efficient super-resolution algorithms. To address this issu

SUBMITTER: Hong Z 

PROVIDER: S-EPMC11888847 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature