23 citations · 23 across the 5 of their papers we have counts for
5 papers
Brightness Perceiving for Recursive Low-Light Image Enhancement
Haodian Wang, Long Peng, Yuejin Sun +3
Due to the wide dynamic range in real low-light scenes, there will be large differences in the degree of contrast degradation and detail blurring of captured images, making it diff…
Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-World Super-Resolution
Long Peng, Wenbo Li, Jiaming Guo +7
Real-world image super-resolution (Real SR) aims to generate high-fidelity, detail-rich high-resolution (HR) images from low-resolution (LR) counterparts. Existing Real SR methods…
Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model
Peizhe Xia, Long Peng, Xin Di +4
Arbitrary scale super-resolution (ASSR) aims to super-resolve low-resolution images to high-resolution images at any scale using a single model, addressing the limitations of tradi…
Multi-Scale Representation Learning for Image Restoration with State-Space Model
Yuhong He, Long Peng, Qiaosi Yi +2
Image restoration endeavors to reconstruct a high-quality, detail-rich image from a degraded counterpart, which is a pivotal process in photography and various computer vision syst…
FC3DNet: A Fully Connected Encoder-Decoder for Efficient Demoir'eing
Zhibo Du, Long Peng, Yang Wang +2
Moiré patterns are commonly seen when taking photos of screens. Camera devices usually have limited hardware performance but take high-resolution photos. However, users are sensiti…