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Most cited papers in Image Enhancement Techniques

What are the most cited papers in Image Enhancement Techniques?

The most cited paper in Image Enhancement Techniques is "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" (Justin M. Johnson, Alexandre Alahi, Li Fei-Fei, 2016), with 10,170 citations. Next come "Fast approximate energy minimization via graph cuts" (7,066) and "Making a “Completely Blind” Image Quality Analyzer" (6,737).

Showing 50 of 98 papers. Every paper with more than 1,300 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin M. Johnson, Alexandre Alahi, Li Fei-Fei · Lecture notes in computer science Conference paperOpen access 2016 10,170
2 Fast approximate energy minimization via graph cuts Yuri Boykov, Olga Veksler, Ramin Zabih · IEEE Transactions on Pattern Analysis and Machine Intelligence 2001 7,066
3 Making a “Completely Blind” Image Quality Analyzer A. Mittal, Rajiv Soundararajan, Alan Conrad Bovik · IEEE Signal Processing Letters 14 Nov 2012 6,737
4 Single Image Haze Removal Using Dark Channel Prior Kaiming He, Jian Cheng Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence 15 Sep 2010 6,281
5 High-Speed Tracking with Kernelized Correlation Filters João F. Henriques, Rui Caseiro, Pedro Martins et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence Open access Aug 2014 5,866
6 "GrabCut" Carsten Rother, Vladimir Kolmogorov, Andrew Blake · ACM Transactions on Graphics Open access Aug 2004 5,822
7 A universal image quality index Zhou Wang, Alan Conrad Bovik · IEEE Signal Processing Letters Mar 2002 5,783
8 Guided Image Filtering Kaiming He, Jian Zhong Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence 2 Oct 2012 5,494
9 Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto, Jack Valmadre, João F. Henriques et al. · Lecture notes in computer science Conference paper 2016 4,443
10 Stereo Processing by Semiglobal Matching and Mutual Information Heiko Hirschmüller · IEEE Transactions on Pattern Analysis and Machine Intelligence 20 Dec 2007 4,328
11 Image information and visual quality Hamid R. Sheikh, Alan Conrad Bovik · IEEE Transactions on Image Processing 18 Jan 2006 4,118
12 Contrast Limited Adaptive Histogram Equalization Karel J. Zuiderveld · Elsevier eBooks Book chapter 1994 4,088
13 Light field rendering Marc Levoy, Pat Hanrahan Conference paper Aug 1996 3,785
14 DehazeNet: An End-to-End System for Single Image Haze Removal Bolun Cai, Xiangmin Xu, Kui Jia et al. · IEEE Transactions on Image Processing Open access 10 Aug 2016 3,386
15 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg, N. Michael Mayer, Tonmoy Saikia et al. Conference paper Jul 2017 3,369
16 Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros · Lecture notes in computer science Conference paper 2016 3,362
17 Selective Kernel Networks Xiang Li, Wenhai Wang, Xiaolin Hu et al. Conference paper Jun 2019 3,134
18 Accurate, Dense, and Robust Multiview Stereopsis Yasutaka Furukawa, Jean Ponce · IEEE Transactions on Pattern Analysis and Machine Intelligence Sep 2009 3,089
19 A multiscale retinex for bridging the gap between color images and the human observation of scenes Daniel J. Jobson, Zia Ur Rahman, Glenn A. Woodell · IEEE Transactions on Image Processing Jul 1997 3,055
20 High Performance Visual Tracking with Siamese Region Proposal Network Bo Hu Li, Junjie Yan, Wei Wu et al. Conference paper Jun 2018 3,035
21 A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms Hamid R. Sheikh, Muhammad Farooq Sabir, Alan Conrad Bovik · IEEE Transactions on Image Processing 18 Oct 2006 3,027
22 Color transfer between images Erik Reinhard, M. Adhikhmin, Bryan N S Gooch et al. · IEEE Computer Graphics and Applications 2001 3,016
23 LIME: Low-Light Image Enhancement via Illumination Map Estimation Xiaojie Guo, Yu Li, Haibin Ling · IEEE Transactions on Image Processing 14 Dec 2016 3,001
24 Learning Multi-domain Convolutional Neural Networks for Visual Tracking Hyeonseob Nam, Bohyung Han Conference paper Jun 2016 2,850
25 EnlightenGAN: Deep Light Enhancement Without Paired Supervision Yifan Jiang, Xinyu Gong, Ding Liu et al. · IEEE Transactions on Image Processing 2021 2,612
26 RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed, Jia Hao Deng · Lecture notes in computer science Conference paper 2020 2,596
27 SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks Bo Li, Wei Wu, Qiang Wang et al. Conference paper Jun 2019 2,563
28 A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior Qingsong Zhu, Jiaming Mai, Ling Shao · IEEE Transactions on Image Processing Open access 18 Jun 2015 2,500
29 Image quilting for texture synthesis and transfer Alexei A. Efros, William T. Freeman Conference paper Aug 2001 2,416
30 Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Chunle Guo, Chongyi Li, Jichang Guo et al. Conference paper Jun 2020 2,406
31 PVT v2: Improved baselines with pyramid vision transformer Wenhai Wang, Enze Xie, Xiang Li et al. · Computational Visual Media Open access 16 Mar 2022 2,391
32 AOD-Net: All-in-One Dehazing Network Boyi Li, Xiulian Peng, Zhangyang Wang et al. Conference paper Oct 2017 2,370
33 Properties and performance of a center/surround retinex Daniel J. Jobson, Zia Ur Rahman, Glenn A. Woodell · IEEE Transactions on Image Processing Mar 1997 2,339
34 Single-Image Crowd Counting via Multi-Column Convolutional Neural Network Yingying Zhang, Desen Zhou, Siqin Chen et al. Conference paper Jun 2016 2,326
35 Benchmarking Single-Image Dehazing and Beyond Boyi Li, Wenqi Ren, Dengpan Fu et al. · IEEE Transactions on Image Processing 30 Aug 2018 2,317
36 Visibility in bad weather from a single image Robby T. Tan Conference paper Jun 2008 2,312
37 Albumentations: Fast and Flexible Image Augmentations Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya et al. · Information Open access 24 Feb 2020 2,295
38 A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation Nikolaus Mayer, Eddy Ilg, Philip Hausser et al. Conference paperOpen access Jun 2016 2,279
39 Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks Jierun Chen, Shiu-hong Kao, Hao He et al. Conference paper Jun 2023 2,270
40 A Database and Evaluation Methodology for Optical Flow Simon J Baker, Daniel Scharstein, John P. Lewis et al. · International Journal of Computer Vision Open access 29 Nov 2010 2,263
41 Saliency filters: Contrast based filtering for salient region detection Federico Perazzi, Philipp Krähenbühl, Yael Pritch et al. Conference paper Jun 2012 2,144
42 Single image dehazing Raanan Fattal · ACM Transactions on Graphics Aug 2008 2,137
43 Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo et al. Conference paper Jun 2021 2,104
44 U2Fusion: A Unified Unsupervised Image Fusion Network Han Xu, Jiayi Ma, Junjun Jiang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 28 Jul 2020 2,102
45 Robust Object Tracking with Online Multiple Instance Learning Boris Babenko, Shuicheng Yan, Serge Belongie · IEEE Transactions on Pattern Analysis and Machine Intelligence 23 Dec 2010 2,039
46 DenseFuse: A Fusion Approach to Infrared and Visible Images Hui Li, Xiao-Jun Wu · IEEE Transactions on Image Processing Open access 18 Dec 2018 2,015
47 Most apparent distortion: full-reference image quality assessment and the role of strategy Damon M. Chandler · Journal of Electronic Imaging 2010 1,982
48 LLNet: A deep autoencoder approach to natural low-light image enhancement Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar · Pattern Recognition 17 Jun 2016 1,969
49 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron, Ishan Misra, Julien Mairal et al. · arXiv (Cornell University) PreprintOpen access 17 Jun 2020 1,903
50 MemNet: A Persistent Memory Network for Image Restoration Ying Yu Tai, Jian Jun Yang, Xiaoming Liu et al. Conference paper Oct 2017 1,894

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.