Nov 23, 2021 · This paper proposes a novel unified framework for low-light image enhancement, image denoising and image super-resolution.
Nov 23, 2021 · Image quality enhancement aims to recover rich details from degraded images, which is applied into many fields, such as medical imaging, ...
Abstract Image quality enhancement aims to recover rich details from degraded images, which is applied into many fields, such as medical imaging, ...
Image quality enhancement aims to recover rich details from degraded images, which is applied into many fields, such as medical imaging, filming production and ...
Oct 13, 2024 · We propose the Hybrid Attention Separable Block (HASB), which combines channel attention and spatial attention, thus making use of their complementary ...
The goal of stereo image super-resolution is to enhance the quality of low-resolution stereo image pairs by utiliz- ing complementary information across ...
Aug 14, 2024 · In this paper, we propose an RS image dehazing network based on multi-scale large kernel convolution and hybrid attention (MKHANet).
Mar 17, 2022 · The study suggests an image compression method based on a hybrid domain attention mechanism and postprocessing improvement.
This paper proposes a symmetric CNN (HDANet), which is based on the Transformer's self-attention mechanism and uses symmetric convolution to capture the ...
Jun 7, 2023 · In this article, we present a new hybrid attention-based U-shaped network (HAUNet) for RSISR to effectively explore the multiscale features and ...