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Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11744078_23openalex-snapshot
Studying Aesthetics in Photographic Images Using a Computational Approach
inferredcites →https://doi.org/10.1016/j.image.2014.10.009openalex-snapshot
Image database TID2013: Peculiarities, results and perspectives
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Wavelet-based contourlet in quality evaluation of digital images
inferredcites →https://doi.org/10.1016/j.neucom.2015.11.101openalex-snapshot
Learning a blind quality evaluation engine of screen content images
inferredcites →https://doi.org/10.1017/s0952523800009640openalex-snapshot
Normalization of cell responses in cat striate cortex
inferredcites →https://doi.org/10.1023/a:1011139631724openalex-snapshot
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
inferredcites →https://doi.org/10.1038/nature05724openalex-snapshot
Image statistics and the perception of surface qualities
inferredcites →https://doi.org/10.1073/pnas.1110747108openalex-snapshot
A perceptual metric for photo retouching
inferredcites →https://doi.org/10.1088/0954-898x/5/4/006openalex-snapshot
The statistics of natural images
inferredcites →https://doi.org/10.1109/cvpr.2014.384openalex-snapshot
Quality Assessment for Comparing Image Enhancement Algorithms
inferredcites →https://doi.org/10.1109/iccv.2001.937655openalex-snapshot
A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
inferredcites →https://doi.org/10.1109/icip.2013.6738079openalex-snapshot
Subjective and objective quality assessment for images with contrast change
inferredcites →https://doi.org/10.1109/icip.2014.7025101openalex-snapshot
An efficient color image quality metric with local-tuned-global model
inferredcites →https://doi.org/10.1109/lsp.2012.2199980openalex-snapshot
A Fast Wavelet-Based Algorithm for Global and Local Image Sharpness Estimation
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/lsp.2014.2372333openalex-snapshot
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics
inferredcites →https://doi.org/10.1109/lsp.2015.2487369openalex-snapshot
A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images
inferredcites →https://doi.org/10.1109/mmul.2016.2openalex-snapshot
Nonparametric Quality Assessment of Natural Images
inferredcites →https://doi.org/10.1109/proc.1981.12022openalex-snapshot
The importance of phase in signals
inferredcites →https://doi.org/10.1109/qomex.2014.6982328openalex-snapshot
Subjective quality assessment of Screen Content Images
inferredcites →https://doi.org/10.1109/tbc.2014.2344471openalex-snapshot
Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images
inferredcites →https://doi.org/10.1109/tbc.2015.2459851openalex-snapshot
Quality Assessment Considering Viewing Distance and Image Resolution
inferredcites →https://doi.org/10.1109/tcsvt.2014.2372392openalex-snapshot
Automatic Contrast Enhancement Technology With Saliency Preservation
inferredcites →https://doi.org/10.1109/tcyb.2015.2401732openalex-snapshot
The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement
inferredcites →https://doi.org/10.1109/tie.2017.2652339openalex-snapshot
A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2009.2018014openalex-snapshot
Image Quality Assessment Based on Multiscale Geometric Analysis
inferredcites →https://doi.org/10.1109/tip.2009.2021548openalex-snapshot
A Histogram Modification Framework and Its Application for Image Contrast Enhancement
inferredcites →https://doi.org/10.1109/tip.2011.2109730openalex-snapshot
FSIM: A Feature Similarity Index for Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2011.2166082openalex-snapshot
RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2011.2169974openalex-snapshot
${\bf S}_{3}$: A Spectral and Spatial Measure of Local Perceived Sharpness in Natural Images
inferredcites →https://doi.org/10.1109/tip.2012.2197010openalex-snapshot
Fourier Transform-Based Scalable Image Quality Measure
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tip.2012.2226047openalex-snapshot
Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution
inferredcites →https://doi.org/10.1109/tip.2014.2346028openalex-snapshot
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2015.2426416openalex-snapshot
A Feature-Enriched Completely Blind Image Quality Evaluator
inferredcites →https://doi.org/10.1109/tip.2015.2439035openalex-snapshot
No-Reference Image Sharpness Assessment in Autoregressive Parameter Space
inferredcites →https://doi.org/10.1109/tip.2015.2456502openalex-snapshot
Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging
inferredcites →https://doi.org/10.1109/tip.2016.2538462openalex-snapshot
Toward a Blind Deep Quality Evaluator for Stereoscopic Images Based on Monocular and Binocular Interactions
inferredcites →https://doi.org/10.1109/tmm.2013.2269899openalex-snapshot
Content-Based Photo Quality Assessment
inferredcites →https://doi.org/10.1109/tmm.2014.2373812openalex-snapshot
Using Free Energy Principle For Blind Image Quality Assessment
inferredcites →https://doi.org/10.1109/tmm.2015.2510326openalex-snapshot
Guided Image Contrast Enhancement Based on Retrieved Images in Cloud
inferredcites →https://doi.org/10.1109/tmm.2016.2518868openalex-snapshot
Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure
inferredcites →https://doi.org/10.1109/tnn.2010.2040192openalex-snapshot
Objective Image Quality Assessment Based on Support Vector Regression
inferredcites →https://doi.org/10.1109/tnn.2011.2120620openalex-snapshot
Blind Image Quality Assessment Using a General Regression Neural Network
inferredcites →https://doi.org/10.1109/tnnls.2013.2271356openalex-snapshot
Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning
inferredcites →https://doi.org/10.1109/tnnls.2014.2336852openalex-snapshot
Blind Image Quality Assessment via Deep Learning
inferredcites →https://doi.org/10.1109/tnnls.2014.2377181openalex-snapshot
Learning to Rank for Blind Image Quality Assessment
inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot
Single Image Haze Removal Using Dark Channel Prior
inferredcites →https://doi.org/10.1109/tsmcb.2009.2021951openalex-snapshot
Reduced-Reference IQA in Contourlet Domain
inferredcites →https://doi.org/10.1117/1.3267105openalex-snapshot
Most apparent distortion: full-reference image quality assessment and the role of strategy
inferredcites →https://doi.org/10.1117/12.477378openalex-snapshot
Measuring colorfulness in natural images
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.1167/9.4.29openalex-snapshot
Brain responses strongly correlate with Weibull image statistics when processing natural images
inferredcites →https://doi.org/10.1523/jneurosci.3128-13.2013openalex-snapshot
From Image Statistics to Scene Gist: Evoked Neural Activity Reveals Transition from Low-Level Natural Image Structure to Scene Category
inferredcites →https://doi.org/10.48550/arxiv.1503.02531openalex-snapshot
Distilling the Knowledge in a Neural Network
inferredcites →https://doi.org/10.48550/arxiv.1601.04155openalex-snapshot
Brain-Inspired Deep Networks for Image Aesthetics Assessment
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Perceptual Quality Evaluation of Corrupted Industrial Images
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Methods of Image Enhancement in Low-light Situations
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I2QED: A Benchmark Database for Infrared Imaging Quality Evaluation
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ZERRIN-Net: Adaptive low-light image enhancement using Retinex decomposition and noise extraction
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Fuzzy-optimized genetic algorithm for mammogram image enhancement
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No-reference image quality assessment for contrast-changed images via a semi-supervised robust PCA model
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A lightweight object detection framework for underwater imagery with joint image restoration and color transformation
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102076openalex-snapshot
Reversible data hiding based on global and local automatic contrast enhancement of low-light color images
inferred← citeshttps://doi.org/10.1016/j.jnca.2019.06.009openalex-snapshot
Analytical composite performance models for Big Data applications
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.05.009openalex-snapshot
A generic denoising framework via guided principal component analysis
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.09.010openalex-snapshot
An efficient and effective blind camera image quality metric via modeling quaternion wavelet coefficients
inferred← citeshttps://doi.org/10.1016/j.jvcir.2017.09.011openalex-snapshot
No reference image blurriness assessment with local binary patterns
inferred← citeshttps://doi.org/10.1016/j.jvcir.2018.10.027openalex-snapshot
Reduced-reference quality assessment of multiply-distorted images based on structural and uncertainty information degradation
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.102797openalex-snapshot
No-reference quality metric for contrast-distorted image based on gradient domain and HSV space
inferred← citeshttps://doi.org/10.1016/j.jvcir.2020.103004openalex-snapshot
Learning to predict the quality of distorted-then-compressed images via a deep neural network
inferred← citeshttps://doi.org/10.1016/j.jvcir.2021.103364openalex-snapshot
Low-light image enhancement by diffusion pyramid with residuals
inferred← citeshttps://doi.org/10.1016/j.jvcir.2023.103927openalex-snapshot
Towards real-world haze removal with uncorrelated graph model
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104152openalex-snapshot
Blind cartoon image quality assessment based on local structure and chromatic statistics
inferred← citeshttps://doi.org/10.1016/j.jvcir.2024.104181openalex-snapshot
Reversible data hiding with automatic contrast enhancement for color images
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113827openalex-snapshot
Advancing low-light image enhancement through deep learning: A comprehensive experimental study
inferred← citeshttps://doi.org/10.1016/j.matcom.2018.11.005openalex-snapshot
PFF-RVM: A new no reference image quality measure
inferred← citeshttps://doi.org/10.1016/j.matpr.2021.09.380openalex-snapshot
Image Quality Assessment: Edge Based Entropy features estimation using Soft Computing Techniques
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118746openalex-snapshot
Contrast-Aware multiscale decomposition and noise suppression framework for reliable clinical measurements in degraded medical images
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.02.050openalex-snapshot
Referenceless quality metric of multiply-distorted images based on structural degradation
inferred← citeshttps://doi.org/10.1016/j.neucom.2018.06.042openalex-snapshot
No-reference image quality assessment for photographic images based on robust statistics
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.10.065openalex-snapshot
A practical generative adversarial network architecture for restoring damaged character photographs
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128582openalex-snapshot
A comprehensive qualitative and quantitative survey on image dehazing based on deep neural networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129992openalex-snapshot
Zero-reference generative exposure correction and adaptive fusion for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.optlastec.2024.112181openalex-snapshot
Multi-scale Perception Enhancement of Structural Patch Decomposition and Fusion for low light imaging
inferred← citeshttps://doi.org/10.1016/j.optlastec.2025.112545openalex-snapshot
Sinking into water without seeing water: Semi-supervised underwater image enhancement based on simulated image re-degradation process
inferred← citeshttps://doi.org/10.1016/j.optlastec.2025.113550openalex-snapshot
Low-light image enhancement via collaborative dual-stream optimization with domain adaptation
inferred← citeshttps://doi.org/10.1016/j.patcog.2017.06.008openalex-snapshot
Blind quality estimator for 3D images based on binocular combination and extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.02.021openalex-snapshot
Blind image quality assessment via learnable attention-based pooling
inferred← citeshttps://doi.org/10.1016/j.patcog.2023.110025openalex-snapshot
A non-regularization self-supervised Retinex approach to low-light image enhancement with parameterized illumination estimation
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112395openalex-snapshot
Joint luminance-chrominance learning for quality assessment of low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112421openalex-snapshot
Retinex-guided generative diffusion prior for low-light image enhancement
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112781openalex-snapshot
A Retinex-based variational model for low-light image enhancement with noise transformation
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113073openalex-snapshot
NGSCD: Nighttime glow suppression for visibility enhancement via structural cascade decomposition model
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114918openalex-snapshot
Single-stage signal Attenuation Diffusion Model for Low-Light Image Enhancement and denoising
inferred← citeshttps://doi.org/10.1016/j.patrec.2020.01.009openalex-snapshot
A cockpit of multiple measures for assessing film restoration quality
inferred← citeshttps://doi.org/10.1016/j.rsase.2018.03.008openalex-snapshot
Image quality restoration framework for contrast enhancement of satellite remote sensing images
inferred← citeshttps://doi.org/10.1016/j.sigpro.2018.04.019openalex-snapshot
Blind stereoscopic 3D image quality assessment via analysis of naturalness, structure, and binocular asymmetry
inferred← citeshttps://doi.org/10.1016/j.sigpro.2022.108523openalex-snapshot
Low-light image enhancement using inverted image normalized by atmospheric light
inferred← citeshttps://doi.org/10.1017/atsip.2019.16openalex-snapshot
Modern trends on quality of experience assessment and future work
inferred← citeshttps://doi.org/10.1017/atsip.2020.17openalex-snapshot
Hue-correction scheme considering CIEDE2000 for color-image enhancement including deep-learning-based algorithms
inferred← citeshttps://doi.org/10.1038/s41598-023-44179-3openalex-snapshot
Underwater image quality assessment method based on color space multi-feature fusion
inferred← citeshttps://doi.org/10.1038/s41598-023-51015-1openalex-snapshot
Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network
inferred← citeshttps://doi.org/10.1038/s41598-025-26970-6openalex-snapshot
Research on pedestrian recognition in complex scenarios based on data augmentation using large language models
inferred← citeshttps://doi.org/10.1049/el.2017.0325openalex-snapshot
Towards efficient blind quality evaluation of screen content images based on edge‐preserving filter
inferred← citeshttps://doi.org/10.1049/el.2018.5613openalex-snapshot
Extremely efficient PM2.5 estimator based on analysis of saliency and statistics
inferred← citeshttps://doi.org/10.1049/el.2019.1636openalex-snapshot
Efficient loose image content classifier
inferred← citeshttps://doi.org/10.1049/iet-ipr.2017.0789openalex-snapshot
Acceleration of histogram‐based contrast enhancement via selective downsampling
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5385openalex-snapshot
Blind image quality assessment based on Benford's law
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.6585openalex-snapshot
Nighttime image enhancement using a new illumination boost algorithm
inferred← citeshttps://doi.org/10.1049/iet-ipr.2019.0856openalex-snapshot
Enhanced image no‐reference quality assessment based on colour space distribution
inferred← citeshttps://doi.org/10.1049/iet-ipr.2019.1175openalex-snapshot
Toward a general model for reflection recovery and single image enhancement
inferred← citeshttps://doi.org/10.1049/iet-spr.2018.5160openalex-snapshot
NR‐IQA for noise‐affected images using singular value decomposition
inferred← citeshttps://doi.org/10.1049/ipr2.12034openalex-snapshot
Completely blind image quality assessment via contourlet energy statistics
inferred← citeshttps://doi.org/10.1049/ipr2.12200openalex-snapshot
A robust photo‐based PM2.5$_{2.5}$ monitoring method by combining linear and non‐linear learning
inferred← citeshttps://doi.org/10.1049/ipr2.12201openalex-snapshot
A photo‐based quality assessment model for the estimation of PM2.5 concentrations
inferred← citeshttps://doi.org/10.1049/ipr2.12202openalex-snapshot
A blind contour‐aware quality model for sonar images
inferred← citeshttps://doi.org/10.1049/ipr2.12204openalex-snapshot
An improved picture‐based prediction method of PM2.5 concentration
inferred← citeshttps://doi.org/10.1051/e3sconf/202129202004openalex-snapshot
Internet User Consumption Behavior Based on Big Data
inferred← citeshttps://doi.org/10.1080/10095020.2023.2270641openalex-snapshot
Spatiotemporal imagery selection for full coverage image generation over a large area with HFA-Net based quality grading
inferred← citeshttps://doi.org/10.1080/13682199.2023.2216971openalex-snapshot
Dynamic method to optimize memory space requirement in real-time video surveillance using convolution neural network
inferred← citeshttps://doi.org/10.1088/1742-6596/1574/1/012179openalex-snapshot
Ecological Economic Development Based on Supply Chain in the Era of Big Data
inferred← citeshttps://doi.org/10.1088/1742-6596/1852/2/022005openalex-snapshot
Big data and industrial innovation progress in Jiangxi Province incremental effect highlights enabling digital economy cultivation
inferred← citeshttps://doi.org/10.1088/1742-6596/1852/2/022020openalex-snapshot
Chinese and Western Art History Based on Big Data
inferred← citeshttps://doi.org/10.1088/1742-6596/1881/4/042036openalex-snapshot
Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology
inferred← citeshttps://doi.org/10.1088/1742-6596/1992/2/022176openalex-snapshot
RETRACTED: Research on Optimization of Coding and Modulation Information Processing Technology in the Era of Big Data
inferred← citeshttps://doi.org/10.1088/1755-1315/555/1/012053openalex-snapshot
Photo-Based Monitoring of Particulate Matter in the Campus: A New Strategy for Student Health
inferred← citeshttps://doi.org/10.1088/1757-899x/569/5/052093openalex-snapshot
The Influence of Different Saliency on Full-Reference Sonar Image Quality Evaluation
inferred← citeshttps://doi.org/10.1109/access.2018.2866997openalex-snapshot
Combining Global and Local Feature Analyses for Quality Evaluation of Tone-Mapped HDR Images
inferred← citeshttps://doi.org/10.1109/access.2018.2882470openalex-snapshot
Image Enhancement Using Patch-Based Principal Energy Analysis
inferred← citeshttps://doi.org/10.1109/access.2018.2884697openalex-snapshot
Supervised Learning via Unsupervised Sparse Autoencoder
inferred← citeshttps://doi.org/10.1109/access.2018.2887296openalex-snapshot
Low-Light Image Enhancement by Principal Component Analysis
inferred← citeshttps://doi.org/10.1109/access.2019.2919155openalex-snapshot
Toward a Quality Predictor for Stereoscopic Images via Analysis of Human Binocular Visual Perception
inferred← citeshttps://doi.org/10.1109/access.2019.2920015openalex-snapshot
Ramp Distribution-Based Contrast Enhancement Techniques and Over-Contrast Measure
inferred← citeshttps://doi.org/10.1109/access.2019.2924985openalex-snapshot
Locally Directional and Extremal Pattern for Texture Classification
inferred← citeshttps://doi.org/10.1109/access.2019.2926833openalex-snapshot
Exploiting Quality-Guided Adaptive Optimization for Fusing Multimodal Medical Images
inferred← citeshttps://doi.org/10.1109/access.2019.2940452openalex-snapshot
Low-Light Image Enhancement Based on Maximal Diffusion Values
inferred← citeshttps://doi.org/10.1109/access.2019.2942625openalex-snapshot
No-Reference Image Quality Assessment Based on Multi-Task Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/access.2019.2945576openalex-snapshot
Single Underwater Image Enhancement Based on $L_{P}$ -Norm Decomposition
inferred← citeshttps://doi.org/10.1109/access.2019.2963478openalex-snapshot
An Improved Enhancement Algorithm Based on CNN Applicable for Weak Contrast Images
inferred← citeshttps://doi.org/10.1109/access.2020.2964823openalex-snapshot
Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement
inferred← citeshttps://doi.org/10.1109/access.2020.2991842openalex-snapshot
No-Reference Quality Assessment for Contrast-Distorted Images
inferred← citeshttps://doi.org/10.1109/access.2020.2992749openalex-snapshot
An Experiment-Based Review of Low-Light Image Enhancement Methods
inferred← citeshttps://doi.org/10.1109/access.2020.3003784openalex-snapshot
Uneven Image Dehazing by Heterogeneous Twin Network
inferred← citeshttps://doi.org/10.1109/access.2020.3020750openalex-snapshot
Dual Head Network for No-Reference Quality Assessment Towards Realistic Night-Time Images
inferred← citeshttps://doi.org/10.1109/access.2020.3033122openalex-snapshot
Pairwise Learning to Rank for Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/access.2020.3047461openalex-snapshot
3-D Block-Rooting Scheme With Application to Medical Image Enhancement
inferred← citeshttps://doi.org/10.1109/access.2021.3056244openalex-snapshot
ICEBIN: Image Contrast Enhancement Based on Induced Norm and Local Patch Approaches
inferred← citeshttps://doi.org/10.1109/access.2022.3197629openalex-snapshot
Low-Light Image Enhancement: A Comparative Review and Prospects
inferred← citeshttps://doi.org/10.1109/access.2023.3328534openalex-snapshot
Low-Artifact and Fast Backlit Image Enhancement Method Based on Suppression of Lightness Order Error
inferred← citeshttps://doi.org/10.1109/access.2023.3348121openalex-snapshot
Single Image Enhancement Using Gradient-Norm-Based Tone Curve for Images Captured in Wide-Dynamic-Range Scenes
inferred← citeshttps://doi.org/10.1109/access.2024.3491494openalex-snapshot
G-SemTMO: Tone Mapping With a Trainable Semantic Graph
inferred← citeshttps://doi.org/10.1109/access.2025.3556391openalex-snapshot
Quantifying Objective and Perceived Image Quality Through EEG and Eye-Tracking
inferred← citeshttps://doi.org/10.1109/apcc47188.2019.9026460openalex-snapshot
Fusing Reflectance based LDR Images to Generate HDR Image
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