5.6.3.1 Low Light Enhancement

Chapter Contents (Back)
Low Light. Enhancement.

Kang, B.H.[Bong-Hyup], Jeon, C.W.[Chang-Won], Han, D.K.[David K.], Ko, H.S.[Han-Seok],
Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation,
IVC(29), No. 8, July 2011, pp. 557-568.
Elsevier DOI 1108
Backlight compensation; Image enhancement; Contrast enhancement; Histogram equalization; Saturation BibRef

Park, D.[Dubok], Kim, M.J.[Min-Jae], Ku, B.[Bonhwa], Yoon, S.[Sangmin], Han, D.K.[David K.],
Image enhancement for extremely low light conditions,
AVSS14(307-312)
IEEE DOI 1411
Dynamic range BibRef

Jung, C.[Cheolkon], Yang, Q.[Qi], Sun, T.T.[Ting-Ting], Fu, Q.T.[Qing-Tao], Song, H.[Hyoseob],
Low light image enhancement with dual-tree complex wavelet transform,
JVCIR(42), No. 1, 2017, pp. 28-36.
Elsevier DOI 1701
Contrast enhancement BibRef

Lore, K.G.[Kin Gwn], Akintayo, A.[Adedotun], Sarkar, S.[Soumik],
LLNet: A deep autoencoder approach to natural low-light image enhancement,
PR(61), No. 1, 2017, pp. 650-662.
Elsevier DOI 1705
Image enhancement BibRef

Ko, S.Y.[Seung-Yong], Yu, S.[Soohwan], Park, S.[Seonhee], Moon, B.[Byeongho], Kang, W.[Wonseok], Paik, J.[Joonki],
Variational framework for low-light image enhancement using optimal transmission map and combined and -minimization,
SP:IC(58), No. 1, 2017, pp. 99-110.
Elsevier DOI 1710
Low-light, image, enhancement BibRef

Anaya, J.[Josue], Barbu, A.[Adrian],
RENOIR-A dataset for real low-light image noise reduction,
JVCIR(51), 2018, pp. 144-154.
Elsevier DOI 1802
Dataset, Noise Reduction. Image denoising, Denoising dataset, Low light noise, Poisson-Gaussian noise model BibRef

Guo, X., Li, Y., Ling, H.,
LIME: Low-Light Image Enhancement via Illumination Map Estimation,
IP(26), No. 2, February 2017, pp. 982-993.
IEEE DOI 1702
estimation theory BibRef

Li, C.[Chongyi], Guo, J.[Jichang], Porikli, F.[Fatih], Pang, Y.W.[Yan-Wei],
LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement,
PRL(104), 2018, pp. 15-22.
Elsevier DOI 1804
Low light image enhancement, Weak illumination image enhancement, Image degradation, CNNs BibRef


Rupapara, P., Rangavajjula, A., Jain, A.,
Low complexity image fusion in bayer domain using a monochrome sensor and bayer sensor,
ICIP17(1980-1984)
IEEE DOI 1803
Erbium, Bayer image fusion, Dual sensor system, Low light photography BibRef

Ying, Z.Q.[Zhen-Qiang], Li, G.[Ge], Ren, Y.[Yurui], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min],
A New Low-Light Image Enhancement Algorithm Using Camera Response Model,
CVPV17(3015-3022)
IEEE DOI 1802
BibRef
And:
A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework,
CAIP17(II: 36-46).
Springer DOI 1708
Cameras, Distortion, Estimation, Image color analysis, Image enhancement, Lighting, Mathematical model BibRef

Tao, L., Zhu, C., Xiang, G., Li, Y., Jia, H., Xie, X.,
LLCNN: A convolutional neural network for low-light image enhancement,
VCIP17(1-4)
IEEE DOI 1804
convolution, feature extraction, feedforward neural nets, image enhancement, image texture, CNN based method, low-light image BibRef

Tao, L., Zhu, C., Song, J., Lu, T., Jia, H., Xie, X.,
Low-light image enhancement using CNN and bright channel prior,
ICIP17(3215-3219)
IEEE DOI 1803
Adaptation models, Atmospheric modeling, Filtering theory, Image color analysis, Mathematical model, Scattering, CNN, low-light model BibRef

Shi, W., Chen, C., Jiang, F., Zhao, D., Shen, W.,
Group-based sparse representation for low lighting image enhancement,
ICIP16(4082-4086)
IEEE DOI 1610
Decision support systems BibRef

Kim, Y.[Youngbae], Koh, Y.J.[Yeong Jun], Lee, C.[Chulwoo], Kim, S.H.[Se-Hoon], Kim, C.S.[Chang-Su],
Dark image enhancement based onpairwise target contrast and multi-scale detail boosting,
ICIP15(1404-1408)
IEEE DOI 1512
Dark image enhancement BibRef

Yang, J., Jiang, X., Pan, C., Liu, C.L.[Cheng-Lin],
Enhancement of Low Light Level Images with coupled dictionary learning,
ICPR16(751-756)
IEEE DOI 1705
Brightness, Clustering algorithms, Dictionaries, Estimation, Histograms, Image reconstruction, Training BibRef

Arun, M., Rajagopalan, A.N.,
Hand-held low-light photography with exposure bracketing,
ICIP16(1749-1753)
IEEE DOI 1610
Cameras BibRef

Li, L.[Lin], Wang, R.G.[Rong-Gang], Wang, W.M.[Wen-Min], Gao, W.[Wen],
A low-light image enhancement method for both denoising and contrast enlarging,
ICIP15(3730-3734)
IEEE DOI 1512
BM3D; Contrast enhancement; adaptive denoising; dark channel; superpixel BibRef

Fotiadou, K.[Konstantina], Tsagkatakis, G.[Grigorios], Tsakalides, P.[Panagiotis],
Low Light Image Enhancement via Sparse Representations,
ICIAR14(I: 84-93).
Springer DOI 1410
BibRef

Zhang, X.D.[Xiang-Dong], Shen, P.[Peiyi], Luo, L.[Lingli], Zhang, L.[Liang], Song, J.[Juan],
Enhancement and noise reduction of very low light level images,
ICPR12(2034-2037).
WWW Link. 1302
BibRef

Matsui, S.[Sosuke], Okabe, T.[Takahiro], Shimano, M.[Mihoko], Sato, Y.[Yoichi],
Image Enhancement of Low-Light Scenes with Near-Infrared Flash Images,
ACCV09(I: 213-223).
Springer DOI 0909
BibRef

Mohanty, K.K., Gellaboina, M.K.,
Enhancement of low light image based on Gaussian Mixture Modeling,
EUVIP10(232-236).
IEEE DOI 1110
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Sharpening, Unsharp Masking .


Last update:Aug 16, 2018 at 18:22:30