LIME: Low-Light Image Enhancement via Illumination Map Estimation

Image denoising by sparse 3-D transform-domain collaborative filtering

Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.901238 · Cited by 9,283 · see citing works

Single image haze removal using dark channel prior

He, K., Sun, J., & Tang, X. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.168 · Cited by 7,601 · see citing works

A multiscale retinex for bridging the gap between color images and the human observation of scenes

Jobson, D. J., Rahman, Z., & Woodell, G. A. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.597272 · Cited by 3,055 · see citing works

The Retinex Theory of Color Vision

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Properties and performance of a center/surround retinex

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Weighted Nuclear Norm Minimization with Application to Image Denoising

Gu, S., Zhang, L., Zuo, W., & Feng, X. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.366 · Cited by 2,316 · see citing works

Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images

Wang, S., Zheng, J. Y., Hu, H., & Li, B. H. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2261309 · Cited by 1,772 · see citing works

A spatial processor model for object colour perception

Buchsbaum, G. (1980) · Journal of the Franklin Institute · doi:10.1016/0016-0032(80)90058-7 · Cited by 1,713 · see citing works

Contrast restoration of weather degraded images

Narasimhan, S. G., & Nayar, S. K. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1201821 · Cited by 1,649 · see citing works

Edge-preserving decompositions for multi-scale tone and detail manipulation

Farbman, Z., Fattal, R., Lischinski, D., et al. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360666 · Cited by 1,469 · see citing works

Colorization using optimization

Levin, A., Lischinski, D., & Weiss, Y. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015780 · Cited by 1,446 · see citing works

Real-Time Compressive Tracking

Zhang, K., Lei Zhang, A., & Yang, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_62 · Cited by 1,442 · see citing works

A Dynamic Histogram Equalization for Image Contrast Enhancement

Abdullah-Al-Wadud, M., Kabir, M. H., Dewan, M. A., & Chae, O. (2007) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2007.381734 · Cited by 1,353 · see citing works

Image denoising: Can plain neural networks compete with BM3D?

Burger, H. C., Schuler, C. J., & Harmeling, S. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247952 · Cited by 1,325 · see citing works

Efficient Image Dehazing with Boundary Constraint and Contextual Regularization

Meng, G., Wang, Y., Duan, J., Xiang, S., & Pan, C. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.82 · Cited by 1,164 · see citing works

A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation

Fu, X., Zeng, D., Huang, Y., Zhang, X.-P. S., & Ding, X. (2016) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2016.304 · Cited by 1,158 · see citing works

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank RepresentationPreprint

Lin, Z., Liu, R., & Su, Z. (2011) · arXiv (Cornell University) · doi:10.48550/arxiv.1109.0367 · Cited by 1,154 · see citing works

Contrast Enhancement Based on Layered Difference Representation of 2D Histograms

Lee, C., Lee, C., & Kim, C. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2284059 · Cited by 1,079 · see citing works

Structure extraction from texture via relative total variation

Xu, L., Yan, Q., Xia, Y., & Jia, J. (2012) · ACM Transactions on Graphics · doi:10.1145/2366145.2366158 · Cited by 868 · see citing works

Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms

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Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

Foi, A., Katkovnik, V. Y., & Egiazarian, K. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.891788 · Cited by 745 · see citing works

A fusion-based enhancing method for weakly illuminated images

Fu, X., Zeng, D., Huang, Y., Liao, Y., Ding, X., & Paisley, J. W. (2016) · Signal Processing · doi:10.1016/j.sigpro.2016.05.031 · Cited by 742 · see citing works

On the linear convergence of the alternating direction method of multipliers

Hong, M., & Luo, Z.-Q. T. (2016) · Mathematical Programming · doi:10.1007/s10107-016-1034-2 · Cited by 635 · see citing works

Contextual and Variational Contrast Enhancement

Çelik, T., & Tjahjadi, T. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2157513 · Cited by 534 · see citing works

An Augmented Lagrangian Method for Total Variation Video Restoration

Chan, S. H., Khoshabeh, R., Gibson, K. B., Gill, P. E., & Nguyen, T. Q. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2158229 · Cited by 492 · see citing works

A simple and effective histogram equalization approach to image enhancement

Cheng, H.-D., & Shi, X. (2003) · Digital Signal Processing · doi:10.1016/j.dsp.2003.07.002 · Cited by 454 · see citing works

Robust patch-based hdr reconstruction of dynamic scenes

Sen, P., Kalantari, N. K., Yaesoubi, M., et al. (2012) · ACM Transactions on Graphics · doi:10.1145/2366145.2366222 · Cited by 438 · see citing works

Ground truth dataset and baseline evaluations for intrinsic image algorithms

Grosse, R., Johnson, M. K., Adelson, E. H., & Freeman, W. T. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459428 · Cited by 433 · see citing works

Fast efficient algorithm for enhancement of low lighting video

Dong, X., Wang, G., Pang, Y., et al. (2011) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2011.6012107 · Cited by 375 · see citing works

Interactive local adjustment of tonal values

Lischinski, D., Farbman, Z., Uyttendaele, M., et al. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141936 · Cited by 374 · see citing works

Single Image Layer Separation Using Relative Smoothness

Li, Y., & Brown, M. S. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.346 · Cited by 356 · see citing works

Fast efficient algorithm for enhancement of low lighting video

Dong, X., Pang, Y., & Wen, J. (2010) · ACM SIGGRAPH Posters · doi:10.1145/1836845.1836920 · Cited by 311 · see citing works

A low-light image enhancement method for both denoising and contrast enlarging

Li, L. J., Wang, R., Wang, W., et al. (2015) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2015.7351501 · Cited by 229 · see citing works

Spatio-temporal Object Detection Proposals

Oneaţă, D., Revaud, J., Verbeek, J. J., & Schmid, C. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10578-9_48 · Cited by 184 · see citing works

On the Linear Convergence of the Alternating Direction Method of MultipliersPreprint

Hong, M., & Luo, Z.-Q. T. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1208.3922 · Cited by 152 · see citing works

Color Constancy, Intrinsic Images, and Shape Estimation

Barron, J. T., & Malik, J. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33765-9_5 · Cited by 146 · see citing works

A Contrast Enhancement Framework with JPEG Artifacts Suppression

Li, Y., Guo, F., Tan, R. T., & Brown, M. S. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10605-2_12 · Cited by 135 · see citing works

Locally adapted hierarchical basis preconditioning

Szeliski, R. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1142005 · Cited by 128 · see citing works

Recovering Intrinsic Images with a Global Sparsity Prior On Reflectance

Gehler, P., Rother, C., Kiefel, M., et al. (2011) · Cited by 103 · see citing works

Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance

Rother, C., Kiefel, M., Zhang, L., et al. (2011) · neural information processing systems · Cited by 86 · see citing works

The Rehabilitation of MaxRGB

Funt, B., & Shi, L. (2011) · Summit (Simon Fraser University) · doi:10.5446/31094 · Cited by 81 · see citing works

The Role of Bright Pixels in Illumination Estimation

Joze, H. R. V., Drew, M. S., Finlayson, G. D., et al. (2012) · Color and Imaging Conference · doi:10.2352/cic.2012.20.1.art00008 · Cited by 67 · see citing works

The Role of Bright Pixels in Illumination Estimation

Hadian, M. R., Drew, Finlayson, G. D., & Troconso-Rey, P. (2012) · Cited by 53 · see citing works

Color Constancy by Category Correlation

Vázquez-Corral, J., Vanrell, M., Baldrich, R., et al. (2011) · IEEE Transactions on Image Processing · doi:10.1109/tip.2011.2171353 · Cited by 36 · see citing works

Multigrid and multilevel preconditioners for computational photography

Krishnan, D., & Szeliski, R. (2011) · ACM Transactions on Graphics · doi:10.1145/2070781.2024211 · Cited by 35 · see citing works

A Learning-Based Approach to Reduce JPEG Artifacts in Image Matting

Choi, I., Kim, S., Brown, M. S., et al. (2013) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.358 · Cited by 29 · see citing works

Multigrid and multilevel preconditioners for computational photography

Krishnan, D., & Szeliski, R. (2011) · doi:10.1145/2024156.2024211 · Cited by 24 · see citing works

Visual Data Deblocking using Structural Layer PriorsPreprint

Guo, X. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1507.01330 · Cited by 1 · see citing works

Visual data deblocking using structural layer priors

Li, S., Zhang, J., & Guo, X. (2016) · IEEE International Conference on Multimedia and Expo (ICME) · doi:10.1109/icme.2016.7552893 · Cited by 1 · see citing works

Structure-Revealing Low-Light Image Enhancement Via Robust Retinex Model

Li, M., Liu, J., Yang, W., Sun, X., & Guo, Z. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2810539 · Cited by 1,245 · see citing works

Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774 · see citing works

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model

Yi, X., Xu, H., Zhang, H., Tang, L., & Ma, J. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.01130 · Cited by 305 · see citing works

FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing Network

Zhang, J., & Tao, D. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2922837 · Cited by 196 · see citing works

LLDiffusion: Learning degradation representations in diffusion models for low-light image enhancement

Wang, T., Zhang, K., Zhang, Y., Luo, W., Stenger, B., Lu, T., Kim, T.-K., & Liu, W. (2025) · Pattern Recognition · doi:10.1016/j.patcog.2025.111628 · Cited by 150 · see citing works

Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment

Wang, R., Xu, X., Fu, C.-W., Lu, J., Yu, B., & Jia, J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00956 · Cited by 145 · see citing works

Fully Point-wise Convolutional Neural Network for Modeling Statistical Regularities in Natural Images

Zhang, J., Cao, Y., Wang, Y., Wen, C., & Chen, C. W. (2018) · Proceedings of the 26th ACM international conference on Multimedia · doi:10.1145/3240508.3240653 · Cited by 40 · see citing works

Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery

Chen, Z., Lu, L., Yuan, Z., Zhu, Y., Li, Y., Yuan, C., & Deng, W. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i2.27889 · Cited by 3 · see citing works

Review on Parameterization Schemes of Visibility in Fog and Brief Discussion of Applications Performance

Long, Q., Wu, B., Mi, X., et al. (2021) · Atmosphere · doi:10.3390/atmos12121666 · Cited by 15 · see citing works

ASSESSMENT OF NIGHTTIME ROADWAY VISIBILITY

Finch, D. M., & Palmer, J. (1957) · Highway Research Record · Cited by 1 · see citing works

Analysis of Characteristics and Trends of Atmospheric Visibility in Shizuishan City of Ningxia

Yi, W. Y. (2012) · Ningxia Journal of Agriculture and Forestry Science and Technology

Studies on the visibility index-classified system in Shanghai

Duan-wei, C. (2005) · China Environmental Science · Cited by 1 · see citing works

Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers

Qu, J., Gao, Y., Lu, Y., Xu, W., & Liu, R. W. (2023) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2023.106478 · Cited by 19 · see citing works