5.6.2.3.1 Underexposed Image Enhancement, Recovery, Under Exposed

Chapter Contents (Back)
Underexposed. Enhancement. Combines both exposure control issues and low light issues.
See also Exposure Correction, Exposure Control.
See also Low Light Enhancement.

Haro, G.[Gloria], Bertalmío, M.[Marcelo], Caselles, V.[Vicent],
Visual Acuity in Day for Night,
IJCV(69), No. 1, August 2006, pp. 109-117.
Springer DOI 0606
Film technique (blue filter, underexpose the film, night scenes in the daytime). Digital implemention that looks more realistic. Rendering. BibRef

Hou, L., Ji, H., Shen, Z.,
Recovering Over-/Underexposed Regions in Photographs,
SIIMS(6), No. 4, 2013, pp. 2213-2235.
DOI Link 1402
BibRef

Ma, L., Jin, D., Liu, R., Fan, X., Luo, Z.,
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement,
SPLetters(27), 2020, pp. 1210-1214.
IEEE DOI 2007
Exposure correction, illumination estimation, image enhancement BibRef

Zhang, Q.[Qing], Nie, Y.W.[Yong-Wei], Zhu, L.[Lei], Xiao, C.X.[Chun-Xia], Zheng, W.S.[Wei-Shi],
Enhancing Underexposed Photos Using Perceptually Bidirectional Similarity,
MultMed(23), 2021, pp. 189-202.
IEEE DOI 2012
Lighting, Estimation, Image color analysis, Visualization, Image enhancement, Distortion, Computer science, illumination estimation BibRef

Shi, Y.Y.[Yuan-Yuan], Fu, X.L.[Xiao-Long], Li, Y.[Yunan], Miao, K.B.[Kai-Bin], Liu, X.Z.[Xiang-Zeng], Zhao, B.C.[Bo-Cheng], Miao, Q.G.[Qi-Guang],
A Semi-Supervised Underexposed Image Enhancement Network With Supervised Context Attention and Multi-Exposure Fusion,
MultMed(26), 2024, pp. 1229-1243.
IEEE DOI 2402
Training, Visualization, Image color analysis, Fuses, Image edge detection, Lighting, Generative adversarial networks, supervised context attention BibRef


Zhao, L.[Lin], Lu, S.P.[Shao-Ping], Chen, T.[Tao], Yang, Z.L.[Zheng-Lu], Shamir, A.[Ariel],
Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning,
ICCV21(12055-12064)
IEEE DOI 2203
Training, Representation learning, Codes, Image color analysis, Neural networks, Machine learning architectures and formulations BibRef

Wang, R.X.[Rui-Xing], Zhang, Q.[Qing], Fu, C.W.[Chi-Wing], Shen, X.Y.[Xiao-Yong], Zheng, W.S.[Wei-Shi], Jia, J.Y.[Jia-Ya],
Underexposed Photo Enhancement Using Deep Illumination Estimation,
CVPR19(6842-6850).
IEEE DOI 2002
BibRef

Honig, S.[Shachar], Werman, M.[Michael],
Image Declipping with Deep Networks,
ICIP18(3923-3927)
IEEE DOI 1809
Recover lost pixel values (due to over/under exposure). Image reconstruction, Image color analysis, Generators, Neural networks, Convolution, Clipping BibRef

Corchs, S.[Silvia], Gasparini, F.[Francesca],
Enhancing Underexposed Images Preserving the Original Mood,
CCIW11(125-136).
Springer DOI 1104
BibRef

Robles-Kelly, A., Hancock, E.R.,
Correction of underexposed images using scene radiance estimation,
ICIP04(III: 1827-1830).
IEEE DOI 0505
BibRef
And:
Underexposed Image Correction Via Approximation of the Scene Radiance Function,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Half Tone, Generation and Analysis, Printing .


Last update:Apr 23, 2025 at 18:43:10