On the public citation graph

Document Image Quality Assessment: A Survey

0 signed · 119 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-84628-726-8_12openalex-snapshot

The State of the Art of Document Image Degradation Modelling

inferredcites →https://doi.org/10.1007/978-3-030-01421-6_27openalex-snapshot

TextNet for Text-Related Image Quality Assessment

inferredcites →https://doi.org/10.1007/978-3-030-57058-3_13openalex-snapshot

Camera Captured DIQA with Linearity and Monotonicity Constraints

inferredcites →https://doi.org/10.1007/978-3-540-69812-8_1openalex-snapshot

DIAR: Advances in Degradation Modeling and Processing

inferredcites →https://doi.org/10.1007/978-3-642-02611-9_83openalex-snapshot

A Taxonomy for Noise in Images of Paper Documents - The Physical Noises

inferredcites →https://doi.org/10.1007/978-3-642-77281-8_26openalex-snapshot

Document Image Defect Models

inferredcites →https://doi.org/10.1007/978-981-15-5281-6_52openalex-snapshot

Effect of Different Filtering Techniques on Medical and Document Image

inferredcites →https://doi.org/10.1007/s10032-003-0117-9openalex-snapshot

Statistical image differences, degradation features, and character distance metrics

inferredcites →https://doi.org/10.1007/s10032-008-0076-2openalex-snapshot

Low quality document image modeling and enhancement

inferredcites →https://doi.org/10.1007/s10032-011-0165-5openalex-snapshot

A new PDE-based approach for singularity-preserving regularization: application to degraded characters restoration

inferredcites →https://doi.org/10.1007/s10032-017-0294-6openalex-snapshot

Handling noise in textual image resolution enhancement using online and offline learned dictionaries

inferredcites →https://doi.org/10.1007/s100320050039openalex-snapshot

Quality assessment and restoration of typewritten document images

inferredcites →https://doi.org/10.1007/s11760-016-1009-zopenalex-snapshot

Image quality assessment based on regions of interest

inferredcites →https://doi.org/10.1016/j.culher.2017.10.001openalex-snapshot

Subjective and objective quality assessment of degraded document images

inferredcites →https://doi.org/10.1016/j.eswa.2018.05.007openalex-snapshot

Blind document image quality prediction based on modification of quality aware clustering method integrating a patch selection strategy

inferredcites →https://doi.org/10.1016/j.image.2019.04.009openalex-snapshot

Blind quality assessment metric and degradation classification for degraded document 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/10.1016/j.neucom.2020.02.084openalex-snapshot

Unified non-uniform scale adaptive sampling model for quality assessment of natural scene and screen content images

inferredcites →https://doi.org/10.1016/s0167-8655(98)00107-xopenalex-snapshot

Characterization of image degradation caused by scanning

inferredcites →https://doi.org/10.1016/s0262-8856(98)00068-7openalex-snapshot

The function of documents

inferredcites →https://doi.org/10.1080/02564602.2016.1151385openalex-snapshot

No-reference/Blind Image Quality Assessment: A Survey

inferredcites →https://doi.org/10.1088/1742-6596/1828/1/012033openalex-snapshot

A Document Image Dataset for Quality Assessment

inferredcites →https://doi.org/10.1108/17563780910939282openalex-snapshot

Binarization of pre‐filtered historical manuscripts images

inferredcites →https://doi.org/10.1109/34.481536openalex-snapshot

Validation of image defect models for optical character recognition

inferredcites →https://doi.org/10.1109/34.625107openalex-snapshot

Large-scale simulation studies in image pattern recognition

inferredcites →https://doi.org/10.1109/34.888707openalex-snapshot

A statistical, nonparametric methodology for document degradation model validation

inferredcites →https://doi.org/10.1109/access.2019.2943319openalex-snapshot

A Comprehensive Performance Evaluation of Image Quality Assessment Algorithms

inferredcites →https://doi.org/10.1109/asar.2018.8480372openalex-snapshot

MHDID: A Multi-distortion Historical Document Image Database

inferredcites →https://doi.org/10.1109/biosig52210.2021.9548294openalex-snapshot

Image Quality Assessment on Identity Documents

inferredcites →https://doi.org/10.1109/confluence.2016.7508157openalex-snapshot

An analysis of vision based techniques for quality assessment and enhancement of camera captured document images

inferredcites →https://doi.org/10.1109/cvpr.2013.132openalex-snapshot

Real-Time No-Reference Image Quality Assessment Based on Filter Learning

inferredcites →https://doi.org/10.1109/das.2014.11openalex-snapshot

Combining Focus Measure Operators to Predict OCR Accuracy in Mobile-Captured Document Images

inferredcites →https://doi.org/10.1109/das.2014.25openalex-snapshot

Efficient Example-Based Super-Resolution of Single Text Images Based on Selective Patch Processing

inferredcites →https://doi.org/10.1109/das.2014.72openalex-snapshot

OCR Performance Prediction Using a Bag of Allographs and Support Vector Regression

inferredcites →https://doi.org/10.1109/das.2016.24openalex-snapshot

Document Image Quality Assessment Using Discriminative Sparse Representation

inferredcites →https://doi.org/10.1109/das.2016.33openalex-snapshot

Document Image Quality Assessment Based on Texture Similarity Index

inferredcites →https://doi.org/10.1109/das.2016.53openalex-snapshot

Automatic Selection of Parameters for Document Image Enhancement Using Image Quality Assessment

inferredcites →https://doi.org/10.1109/das.2018.14openalex-snapshot

Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing

inferredcites →https://doi.org/10.1109/das.2018.32openalex-snapshot

Predicting Mobile-Captured Document Images Sharpness Quality

inferredcites →https://doi.org/10.1109/das.2018.42openalex-snapshot

"Quality" vs. "Readability" in Document Images: Statistical Analysis of Human Perception

inferredcites →https://doi.org/10.1109/dial.2006.23openalex-snapshot

Improving the Quality of Degraded Document Images

inferredcites →https://doi.org/10.1109/euvip.2018.8611786openalex-snapshot

Towards Physical Distortion Identification and Removal in Document Images

inferredcites →https://doi.org/10.1109/icdar.1993.395633openalex-snapshot

Global and local document degradation models

inferredcites →https://doi.org/10.1109/icdar.1993.395692openalex-snapshot

Sorting qualities of handwritten Chinese characters for setting up a research database

inferredcites →https://doi.org/10.1109/icdar.1993.395781openalex-snapshot

Document image defect models and their uses

inferredcites →https://doi.org/10.1109/icdar.1995.599003openalex-snapshot

Prediction of OCR accuracy using simple image features

inferredcites →https://doi.org/10.1109/icdar.1995.602007openalex-snapshot

Power functions and their use in selecting distance functions for document degradation model validation

inferredcites →https://doi.org/10.1109/icdar.1999.791824openalex-snapshot

Document image quality: making fine discriminations

inferredcites →https://doi.org/10.1109/icdar.1999.791825openalex-snapshot

A two-state Markov chain model of degraded document images

inferredcites →https://doi.org/10.1109/icdar.2001.953968openalex-snapshot

Scanner parameter estimation using bilevel scans of star charts

inferredcites →https://doi.org/10.1109/icdar.2003.1227717openalex-snapshot

Automatic filter selection using image quality assessment

inferredcites →https://doi.org/10.1109/icdar.2007.4376979openalex-snapshot

Assessing and Improving the Quality of Document Images Acquired with Portable Digital Cameras

inferredcites →https://doi.org/10.1109/icdar.2007.4378715openalex-snapshot

Human Image Preference and Document Degradation Models

inferredcites →https://doi.org/10.1109/icdar.2011.284openalex-snapshot

Quality Evaluation of Character Image Database and Its Application

inferredcites →https://doi.org/10.1109/icdar.2011.301openalex-snapshot

Historical Document Layout Analysis Competition

inferredcites →https://doi.org/10.1109/icdar.2013.148openalex-snapshot

Document Image Quality Assessment: A Brief Survey

inferredcites →https://doi.org/10.1109/icdar.2015.7333747openalex-snapshot

Document image quality assessment based on improved gradient magnitude similarity deviation

inferredcites →https://doi.org/10.1109/icdar.2015.7333866openalex-snapshot

Document image OCR accuracy prediction via latent Dirichlet allocation

inferredcites →https://doi.org/10.1109/icdar.2015.7333960openalex-snapshot

SmartDoc-QA: A dataset for quality assessment of smartphone captured document images - single and multiple distortions

inferredcites →https://doi.org/10.1109/icdar.2017.139openalex-snapshot

Attention Based RNN Model for Document Image Quality Assessment

inferredcites →https://doi.org/10.1109/icdar.2019.00094openalex-snapshot

Towards Document Image Quality Assessment: A Text Line Based Framework and a Synthetic Text Line Image Dataset

inferredcites →https://doi.org/10.1109/icdar.2019.00201openalex-snapshot

A New Document Image Quality Assessment Method Based on Hast Derivations

inferredcites →https://doi.org/10.1109/icdar.2019.00221openalex-snapshot

A Deep Transfer Learning Approach to Document Image Quality Assessment

inferredcites →https://doi.org/10.1109/icip.1995.538547openalex-snapshot

Image quality and readability

inferredcites →https://doi.org/10.1109/icip.2001.958035openalex-snapshot

Proceedings 2001 International Conference On Image Processing

inferredcites →https://doi.org/10.1109/icip.2011.6116204openalex-snapshot

Automated image quality assessment for camera-captured OCR

inferredcites →https://doi.org/10.1109/icip.2014.7025520openalex-snapshot

A deep learning approach to document image quality assessment

inferredcites →https://doi.org/10.1109/icip.2016.7532968openalex-snapshot

No-reference document image quality assessment based on high order image statistics

inferredcites →https://doi.org/10.1109/icpr.2000.905409openalex-snapshot

Super-resolution enhancement of text image sequences

inferredcites →https://doi.org/10.1109/icpr.2004.1334167openalex-snapshot

Historical document image enhancement using background light intensity normalization

inferredcites →https://doi.org/10.1109/icpr.2018.8545433openalex-snapshot

CG-DIQA: No-Reference Document Image Quality Assessment Based on Character Gradient

inferredcites →https://doi.org/10.1109/ipta.2015.7367194openalex-snapshot

Comparison of JPEG's competitors for document images

inferredcites →https://doi.org/10.1109/lsp.2003.821748openalex-snapshot

Distance-Reciprocal Distortion Measure for Binary Document Images

inferredcites →https://doi.org/10.1109/msp.2008.930649openalex-snapshot

Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures

inferredcites →https://doi.org/10.1109/qomex.2011.6065702openalex-snapshot

Automatic prediction of saliency on JPEG distorted images

inferredcites →https://doi.org/10.1109/tcsvt.2019.2951747openalex-snapshot

Perceptual Quality Assessment for Screen Content Images by Spatial Continuity

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.2010.2052820openalex-snapshot

Automatic Parameter Selection for Denoising Algorithms Using a No-Reference Measure of Image Content

inferredcites →https://doi.org/10.1109/tip.2015.2465145openalex-snapshot

Perceptual Quality Assessment of Screen Content Images

inferredcites →https://doi.org/10.1109/tip.2017.2711279openalex-snapshot

No-Reference Quality Assessment of Screen Content Pictures

inferredcites →https://doi.org/10.1109/tpami.1982.4767199openalex-snapshot

A Method for Selecting Constrained Hand-Printed Character Shapes for Machine Recognition

inferredcites →https://doi.org/10.1109/tpami.2004.1265867openalex-snapshot

Estimating degradation model parameters using neighborhood pattern distributions: an optimization approach

inferredcites →https://doi.org/10.1109/tpami.2006.40openalex-snapshot

Restoring warped document images through 3D shape modeling

inferredcites →https://doi.org/10.1109/tpami.2016.2551244openalex-snapshot

$L_0$ -Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond

inferredcites →https://doi.org/10.1109/tsmca.2011.2170417openalex-snapshot

Character-Based Automated Human Perception Quality Assessment in Document Images

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/10.1117/12.706484openalex-snapshot

Degraded document image enhancement

inferredcites →https://doi.org/10.1117/12.766784openalex-snapshot

Correlating degradation models and image quality metrics

inferredcites →https://doi.org/10.1145/2168556.2168593openalex-snapshot

Towards robust gaze-based objective quality measures for text

inferredcites →https://doi.org/10.1145/313238.313387openalex-snapshot

Quality of OCR for degraded text images

inferredcites →https://doi.org/10.1145/3507901openalex-snapshot

Face Image Quality Assessment: A Literature Survey

inferredcites →https://doi.org/10.21236/ada447997openalex-snapshot

Groundtruth Generation and Document Image Degradation

inferredcites →https://doi.org/10.2352/issn.2470-1173.2020.9.iqsp-323openalex-snapshot

Document Image Quality Assessment with Relaying Reference to Determine Minimum Readable Resolution for Compression

inferredcites →https://doi.org/10.23919/eusipco55093.2022.9909529openalex-snapshot

Towards Refining ID Cards Presentation Attack Detection Systems using Face Quality Index

inferredcites →https://doi.org/10.23919/eusipco55093.2022.9909773openalex-snapshot

Identity Documents Image Quality Assessment

inferredcites →https://doi.org/10.3390/jimaging6100102openalex-snapshot

CleanPage: Fast and Clean Document and Whiteboard Capture

inferredcites →https://doi.org/10.3390/jimaging7090168openalex-snapshot

SEDIQA: Sound Emitting Document Image Quality Assessment in a Reading Aid for the Visually Impaired

inferredcites →https://doi.org/10.3390/math9172155openalex-snapshot

A Method of Image Quality Assessment for Text Recognition on Camera-Captured and Projectively Distorted Documents

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-031-70543-4_6openalex-snapshot

On Image Processing and Pattern Recognition for Thermograms of Watermarks in Manuscripts – A First Proof-of-Concept

inferred← citeshttps://doi.org/10.1007/978-3-032-27538-7_65openalex-snapshot

Photographic Language and Peruvian Gastronomy in the Digital Era

inferred← citeshttps://doi.org/10.1007/978-3-032-30552-7_2openalex-snapshot

An Adaptive Preprocessing Pipeline Framework for Enhanced OCR Accuracy on Scanned Documents

inferred← citeshttps://doi.org/10.1007/978-981-95-5682-3_30openalex-snapshot

Q-Doc: Benchmarking Document Image Quality Assessment Capabilities in Multi-modal Large Language Models

inferred← citeshttps://doi.org/10.1007/s11135-025-02404-3openalex-snapshot

Image discrimination robustness of classical image quality metrics: an analysis on MAE, MSE, ERGAS, LMSE, SSIM, SAM, UIQI, PSNR, NIQE, PIQE, SNR, VIF, FSIM, GMSD, and NCC

inferred← citeshttps://doi.org/10.1016/j.daai.2026.100084openalex-snapshot

Predicting perceptual readability of degraded visual markings using pretrained visual representations

inferred← citeshttps://doi.org/10.1108/dta-07-2025-0596openalex-snapshot

Deep-shallow feature fusion for assessing document image quality

inferred← citeshttps://doi.org/10.1109/access.2024.3506273openalex-snapshot

IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment

inferred← citeshttps://doi.org/10.1109/access.2025.3618109openalex-snapshot

Systematic Literature Review of Machine Learning Models and Applications for Text Recognition

inferred← citeshttps://doi.org/10.1109/cisp-bmei68103.2025.11259279openalex-snapshot

Image Enhancement and Recognition in Safety Supervision Scenarios Based on Multimodal Large Models

inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00363openalex-snapshot

DeQA-Doc: Adapting DeQA-Score to Document Image Quality Assessment

inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00417openalex-snapshot

Predictive Quality Assessment for Mobile Secure Graphics

inferred← citeshttps://doi.org/10.1109/icic68054.2025.11309527openalex-snapshot

Personal Document Classification using Deep Learning Approach: a Comparative Study of CNN, MobileNetV2, and Vision Transformers

inferred← citeshttps://doi.org/10.1109/iciss66954.2025.11389346openalex-snapshot

Automated System for Monitoring and Evaluation of Environmental Document Revision Based on Text Extraction and Data Analysis Technology

inferred← citeshttps://doi.org/10.1109/icocwc60930.2024.10470872openalex-snapshot

Retracted: Assessment of Image Blurriness in Different Compression Formats

inferred← citeshttps://doi.org/10.1109/tip.2026.3722437openalex-snapshot

Character Transformation Artifact: Perception, Prediction, and Representative Application in Image Quality Assessment

inferred← citeshttps://doi.org/10.1145/3749369openalex-snapshot

Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review

inferred← citeshttps://doi.org/10.1145/3805622.3810631openalex-snapshot

ICSGDiff: A Multimodal Structure-Aware Diffusion Network for Restoring Ancient Bamboo Slips

inferred← citeshttps://doi.org/10.21203/rs.3.rs-8842898/v1openalex-snapshot

Beyond Accuracy: A Critical Review of Document Image Binarization Evaluation Practices

inferred← citeshttps://doi.org/10.3389/frsip.2026.1779355openalex-snapshot

Optical character recognition based document image quality assessment

inferred← citeshttps://doi.org/10.3390/app15148063openalex-snapshot

Task-Driven Real-World Super-Resolution of Document Scans

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.