8 papers
Towards Arbitrary-Scale Spacecraft Image Super-Resolution via Salient Region-Guidance
Jingfan Yang, Hu Gao, Ying Zhang +1
Spacecraft image super-resolution seeks to enhance low-resolution spacecraft images into high-resolution ones. Although existing arbitrary-scale super-resolution methods perform we…
MBMamba: When Memory Buffer Meets Mamba for Structure-Aware Image Deblurring
Hu Gao, Xiaoning Lei, Xichen Xu +2
The Mamba architecture has emerged as a promising alternative to CNNs and Transformers for image deblurring. However, its flatten-and-scan strategy often results in local pixel for…
Physically Interpretable Multi-Degradation Image Restoration via Deep Unfolding and Explainable Convolution
Hu Gao, Xiaoning Lei, Xichen Xu +2
Although image restoration has advanced significantly, most existing methods target only a single type of degradation. In real-world scenarios, images often contain multiple degrad…
Enhancing Image Restoration through Learning Context-Rich and Detail-Accurate Features
Hu Gao, Depeng Dang
Image restoration involves recovering high-quality images from their corrupted versions, requiring a nuanced balance between spatial details and contextual information. While certa…
Structure Modeling Activation Free Fourier Network for Spacecraft Image Denoising
Jingfan Yang, Hu Gao, Ying Zhang +2
Spacecraft image denoising is a crucial fundamental technology closely related to aerospace research. However, the existing deep learning-based image denoising methods are primaril…
Towards Differential Handling of Various Blur Regions for Accurate Image Deblurring
Hu Gao, Depeng Dang
Image deblurring aims to restore high-quality images by removing undesired degradation. Although existing methods have yielded promising results, they either overlook the varying d…