6 citations · 17 across the 8 of their papers we have counts for
9 papers · 1 filter
CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
Wang Yinglong, He Bin
Image dehazing aims to restore image clarity and visual quality by reducing atmospheric scattering and absorption effects. While deep learning has made significant strides in this…
Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network
Yinglong Wang, Zhen Liu, Jianzhuang Liu +2
This paper presents a novel network structure with illumination-aware gamma correction and complete image modelling to solve the low-light image enhancement problem. Low-light envi…
Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong Wang, Yibing Song, Chao Ma +1
Single image deraining regards an input image as a fusion of a background image, a transmission map, rain streaks, and atmosphere light. While advanced models are proposed for imag…
Deep Image Deraining Via Intrinsic Rainy Image Priors and Multi-scale Auxiliary Decoding
Yinglong Wang, Chao Ma, Bing Zeng
Different rain models and novel network structures have been proposed to remove rain streaks from single rainy images. In this work, we bring attention to the intrinsic priors and…
Gradient Information Guided Deraining with A Novel Network and Adversarial Training
Yinglong Wang, Haokui Zhang, Yu Liu +2
In recent years, deep learning based methods have made significant progress in rain-removing. However, the existing methods usually do not have good generalization ability, which l…
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong Wang, Qinfeng Shi, Ehsan Abbasnejad +3
Rain removal in images/videos is still an important task in computer vision field and attracting attentions of more and more people. Traditional methods always utilize some incompl…