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BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement
  with Noise Removal and Color Restoration

BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration

30 June 2021
Xinxu Wei
Xian-Shi Zhang
Shisen Wang
Cheng Cheng
Yanlin Huang
Kaifu Yang
Yongjie Li
ArXiv (abs)PDFHTML

Papers citing "BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration"

26 / 26 papers shown
Title
Self-supervised Image Enhancement Network: Training with Low Light
  Images Only
Self-supervised Image Enhancement Network: Training with Low Light Images Only
Yu Zhang
Xiaoguang Di
Bin Zhang
Chunhui Wang
64
105
0
26 Feb 2020
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
Chunle Guo
Chongyi Li
Jichang Guo
Chen Change Loy
Junhui Hou
Sam Kwong
Runmin Cong
DiffM3DV
98
1,363
0
19 Jan 2020
Dual Illumination Estimation for Robust Exposure Correction
Dual Illumination Estimation for Robust Exposure Correction
Qing Zhang
Yongwei Nie
Weishi Zheng
3DV
55
130
0
30 Oct 2019
EnlightenGAN: Deep Light Enhancement without Paired Supervision
EnlightenGAN: Deep Light Enhancement without Paired Supervision
Yi Ding
Xinyu Gong
Ding Liu
Yu Cheng
Chen Fang
Xiaohui Shen
Jianchao Yang
Pan Zhou
Zhangyang Wang
82
1,571
0
17 Jun 2019
STAR: A Structure and Texture Aware Retinex Model
STAR: A Structure and Texture Aware Retinex Model
Jun Xu
Yingkun Hou
Dongwei Ren
Li Liu
Fan Zhu
Mengyang Yu
Haoqian Wang
Ling Shao
76
202
0
16 Jun 2019
Kindling the Darkness: A Practical Low-light Image Enhancer
Kindling the Darkness: A Practical Low-light Image Enhancer
Yonghua Zhang
Jiawan Zhang
Xiaojie Guo
109
1,207
0
04 May 2019
Deep Retinex Decomposition for Low-Light Enhancement
Deep Retinex Decomposition for Low-Light Enhancement
Chen Wei
Wenjing Wang
Wenhan Yang
Jiaying Liu
102
1,725
0
14 Aug 2018
Toward Convolutional Blind Denoising of Real Photographs
Toward Convolutional Blind Denoising of Real Photographs
Shi Guo
Zifei Yan
Peng Sun
W. Zuo
Lei Zhang
98
914
0
12 Jul 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
293
1,188
0
04 May 2018
Joint Enhancement and Denoising Method via Sequential Decomposition
Joint Enhancement and Denoising Method via Sequential Decomposition
Xutong Ren
Mading Li
Wen-Huang Cheng
Jiaying Liu
58
197
0
23 Apr 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,877
0
11 Jan 2018
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
MSR-net:Low-light Image Enhancement Using Deep Convolutional Network
Liang Shen
Zihan Yue
Fan Feng
Quan Chen
Shihao Liu
Jie Ma
64
272
0
07 Nov 2017
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image
  Enhancement
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
Zhenqiang Ying
Ge Li
Wen Gao
62
253
0
02 Nov 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,230
0
20 Mar 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,030
0
04 Dec 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
145
7,007
0
13 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
265
18,259
0
02 Jun 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
237
10,262
0
27 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
LLNet: A Deep Autoencoder Approach to Natural Low-light Image
  Enhancement
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement
Kin Gwn Lore
Adedotun Akintayo
Soumik Sarkar
44
1,464
0
12 Nov 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,997
0
08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,341
0
18 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
309
25,081
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,211
0
11 Nov 2013
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