Paper Citation Record · LEDGER

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

As of 9 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2502.08540.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.08540 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:44:28.830805Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:26.293988Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T19:08:54.190548Z

Reference resolution

63 of 63 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c5da485-6162-4c17-869e-1d5961f3f063 · outbound

This paper cites Dynamic range independent image quality as- sessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Dynamic range independent image quality as- sessment

Reference 1

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Observation 43d0a738-9ab1-490d-a619-9ff12d30674e · outbound

This paper cites A fast reli- able image quality predictor by fusing micro-and macro- structures.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A fast reli- able image quality predictor by fusing micro-and macro- structures

Reference 13

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Observation 96618350-3a96-4164-9972-af064603344b · outbound

This paper cites Iqma network: Image quality multi-scale assessment net- work.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Iqma network: Image quality multi-scale assessment net- work

Reference 14

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Observation 7f782edf-2b90-40fa-8788-37dd9cbd1575 · outbound

This paper cites Convolutional neural networks for no-reference image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Convolutional neural networks for no-reference image quality assessment

Reference 15

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Observation d6cf3ea8-382f-427e-8c85-84d984f644da · outbound

This paper cites Fully deep blind image quality predictor.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Fully deep blind image quality predictor

Reference 17

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Observation 2f9cb302-5dda-4fe3-994a-864da06e1257 · outbound

This paper cites Sparse representation-based image quality index with adaptive sub-dictionaries.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Sparse representation-based image quality index with adaptive sub-dictionaries

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.618006Z

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Observation 46474d32-a788-413f-921d-4fa56fd9b87e · outbound

This paper cites Hallucinated-iqa: No-reference image quality assessment via adversarial learning.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Hallucinated-iqa: No-reference image quality assessment via adversarial learning

Reference 22

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Observation 86b6cf87-9a5c-40f5-adf6-23e4189f7604 · outbound

This paper cites DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning

Reference 23

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Source-reported events for the cited work

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Observation 494c61c2-cea4-457f-be81-3127bcf99052 · outbound

This paper cites Image quality assessment based on gradient similarity.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image quality assessment based on gradient similarity

Reference 24

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Observation fc5b1222-6be1-417b-abf4-cd310fb190c1 · outbound

This paper cites A paraboost method to image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A paraboost method to image quality assessment

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.547077Z

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Observation 9f17e775-314e-450d-a43a-97036c4fec3b · outbound

This paper cites Rankiqa: Learning from rankings for no-reference image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Rankiqa: Learning from rankings for no-reference image quality assessment

Reference 28

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Observation 40bb42d0-e834-4c38-947c-5d80a7de7fec · outbound

This paper cites Photo and video quality evaluation: Focusing on the subject.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Photo and video quality evaluation: Focusing on the subject

Reference 29

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Observation 6a847f56-a3f3-45f0-be79-cdd587805f30 · outbound

This paper cites End- to-end blind image quality assessment using deep neural networks.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook End- to-end blind image quality assessment using deep neural networks

Reference 30

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Observation 0d75c428-f580-439f-9951-1b7e929c186c · outbound

This paper cites Image quality assessment using con- trastive learning.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image quality assessment using con- trastive learning

Reference 31

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Observation 88381ce8-88e5-49a8-af2c-bbfbf614669e · outbound

This paper cites Quality evaluation of image dehazing methods using syn- thetic hazy images.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Quality evaluation of image dehazing methods using syn- thetic hazy images

Reference 32

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Observation ed64d876-b6e1-4b70-b513-7347581a65de · outbound

This paper cites Blind image quality assessment: From natural scene statistics to perceptual quality.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Blind image quality assessment: From natural scene statistics to perceptual quality

Reference 34

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Observation 3d76fb7e-d346-402b-a78f-2bc4c86348eb · outbound

This paper cites Quan- titative assessment of structural image quality.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Quan- titative assessment of structural image quality

Reference 35

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Observation cca0de8a-f109-4715-b7c2-899bc8d5e279 · outbound

This paper cites Ntire 2021 challenge on perceptual image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Ntire 2021 challenge on perceptual image quality assessment

Reference 36

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Observation 4f4a2a26-2581-4d55-89a8-5b0bad57d267 · outbound

This paper cites Blind image quality assessment: A natural scene statistics approach in the dct domain.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Blind image quality assessment: A natural scene statistics approach in the dct domain

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.406780Z

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Observation a3bf22c0-92ee-46d6-a903-2c78505f4c9e · outbound

This paper cites Re- iqa: Unsupervised learning for image quality assessment in the wild.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Re- iqa: Unsupervised learning for image quality assessment in the wild

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.392322Z

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Observation 4072ab20-b6e3-4c07-ae30-7de3f7a7fc41 · outbound

This paper cites Image information and visual quality.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image information and visual quality

Reference 40

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Observation 1515793e-b148-4e31-9e45-fec2b9b50413 · outbound

This paper cites An information fidelity criterion for image qual- ity assessment using natural scene statistics.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook An information fidelity criterion for image qual- ity assessment using natural scene statistics

Reference 41

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Observation ef280228-695e-41c6-8f59-c2f5ea57f022 · outbound

This paper cites Blindly assess image quality in the wild guided by a self- adaptive hyper network.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Blindly assess image quality in the wild guided by a self- adaptive hyper network

Reference 43

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Observation d4c82218-b71c-40e5-bcc9-3ff6b0570ea8 · outbound

This paper cites A survey of image quality measures.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A survey of image quality measures

Reference 44

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Observation a7154bcf-4ae9-40ff-b8b0-98fc1a418297 · outbound

This paper cites Multi-pooled inception fea- tures for no-reference image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Multi-pooled inception fea- tures for no-reference image quality assessment

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.291632Z

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Observation 8a881fdd-9db4-4f2e-a312-4ec9a9628194 · outbound

This paper cites Informa- tion content weighting for perceptual image quality assess- ment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Informa- tion content weighting for perceptual image quality assess- ment

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.278710Z

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Observation 6e33e820-0e37-497c-b2b7-4991e6a9a639 · outbound

This paper cites Reduced-reference image quality assessment using a wavelet-domain natural image statistic model.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Reduced-reference image quality assessment using a wavelet-domain natural image statistic model

Reference 47

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Observation 3b470362-2fd2-4b2c-8ec7-1a3973a1ef61 · outbound

This paper cites Why is image quality assessment so difficult? In ICASSP, vol- ume 4, pages IV–3313.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Why is image quality assessment so difficult? In ICASSP, vol- ume 4, pages IV–3313

Reference 48

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Observation d3646222-6251-4c67-b2df-2baa6534af14 · outbound

This paper cites No- reference/blind image quality assessment: A survey.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook No- reference/blind image quality assessment: A survey

Reference 52

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Observation deb1142f-5461-4b11-9417-a7603e2bcc3c · outbound

This paper cites A survey of dnn methods for blind image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A survey of dnn methods for blind image quality assessment

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.178848Z

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Observation 5f3fcbff-5dc2-4f26-8e6f-8eae10980a8a · outbound

This paper cites Maniqa: Multi-dimension attention network for no-reference image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Maniqa: Multi-dimension attention network for no-reference image quality assessment

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.163552Z

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Observation b2780dfb-32ff-4849-a0a5-961856aa0c3e · outbound

This paper cites Objective quality assessment of tone-mapped im- ages.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Objective quality assessment of tone-mapped im- ages

Reference 55

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Source-reported events for the cited work

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Observation d84502a1-540c-4612-b234-bf83c0b73d8d · outbound

This paper cites Content-variant reference image quality assessment via knowledge distillation.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Content-variant reference image quality assessment via knowledge distillation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.132579Z

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Observation b06d1652-2bf1-4e3a-a7a0-3c95c0ad311c · outbound

This paper cites Transformer for image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Transformer for image quality assessment

Reference 57

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Source-reported events for the cited work

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Observation 2080e6c2-aa93-4995-9785-fd9eafb51edd · outbound

This paper cites Fsim: A feature similarity index for image quality assess- ment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Fsim: A feature similarity index for image quality assess- ment

Reference 58

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Observation a90960b7-bd5b-46af-a4fa-1570c2b226ff · outbound

This paper cites Vsi: A visual saliency-induced index for perceptual image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Vsi: A visual saliency-induced index for perceptual image quality assessment

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.085069Z

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Observation 0ad50a7e-d66c-48ba-945c-fee518de4096 · outbound

This paper cites A feature-enriched completely blind image quality evaluator.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A feature-enriched completely blind image quality evaluator

Reference 60

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Observation e5d039b4-4a16-409e-843e-575fa4bc37b4 · outbound

This paper cites The unreasonable effectiveness of deep features as a per- ceptual metric.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook The unreasonable effectiveness of deep features as a per- ceptual metric

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:28.913232Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 15732d34-ea90-472b-9223-43cf1198a4b0 · outbound

This paper cites Cnn-based medical ultrasound image quality assess- ment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Cnn-based medical ultrasound image quality assess- ment

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:28.898998Z

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Observation faa46db5-5492-4e81-b11f-b07c61fbe38b · outbound

This paper cites Metaiqa: Deep meta-learning for no-reference image qual- ity assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Metaiqa: Deep meta-learning for no-reference image qual- ity assessment

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:28.882902Z

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Observation 4f7445df-6e2d-4d35-b4d8-d9ad98285e94 · outbound

This paper cites Multiscale structural similarity for image quality assess- ment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Multiscale structural similarity for image quality assess- ment

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.237241Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8188bd0a-c7c5-4524-9f5f-8be503a8a2be · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image quality assessment: from error visibility to structural similarity

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.222674Z

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Observation 040f0c1c-099b-4dfd-ad69-ff2420dd7d2b · outbound

This paper cites A universal image quality index.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A universal image quality index

Reference 2004

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.207686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21c67ab8-2132-43a3-aab1-aa919a688a62 · outbound

This paper cites An svd-based grayscale im- age quality measure for local and global assessment.IEEE TIP, 15(2):422–429,.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook An svd-based grayscale im- age quality measure for local and global assessment.IEEE TIP, 15(2):422–429,

Reference 2005

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.333227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 056057c8-d478-4104-907a-98b8f896138b · outbound

This paper cites A no-reference objective image sharpness metric based on the notion of just noticeable blur (jnb).

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A no-reference objective image sharpness metric based on the notion of just noticeable blur (jnb)

Reference 2006

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.798917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f436462-1b76-4fa8-a165-1e78656e2e69 · outbound

This paper cites No-reference image quality assessment via transformers, relative ranking, and self-consistency.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook No-reference image quality assessment via transformers, relative ranking, and self-consistency

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.770643Z

Source-reported events for the cited work

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Observation b367c12b-6011-4ca2-ae96-c89b5953cbd6 · outbound

This paper cites Deep neural networks for no-reference and full-reference image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Deep neural networks for no-reference and full-reference image quality assessment

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.885528Z

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Observation 0147f5a8-c769-4278-ae83-5be0bd74bdd1 · outbound

This paper cites Blind image quality assessment through anisotropy.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Blind image quality assessment through anisotropy

Reference 2009

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.784769Z

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Observation 8a2d3828-856a-48a6-969e-9ce6d3df6ee5 · outbound

This paper cites No- reference image blur assessment based on discrete orthog- onal moments.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook No- reference image blur assessment based on discrete orthog- onal moments

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.631518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d124e9e2-a073-4af1-a87b-ef4a60ba8df7 · outbound

This paper cites Image quality assessment using multi-method fusion.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image quality assessment using multi-method fusion

Reference 2011

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.575476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6273f3c4-35b3-48e7-9766-4dba0b379a48 · outbound

This paper cites A no-reference metric for evaluating the quality of motion deblurring.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook A no-reference metric for evaluating the quality of motion deblurring

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.560878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1ef40be-01a2-4fa5-8c66-26c7053aea00 · outbound

This paper cites Perceptual image quality assessment with transformers.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Perceptual image quality assessment with transformers

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.842879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 16e25ff5-6cef-4bf5-9009-91a347038d0c · outbound

This paper cites Musiq: Multi-scale image quality transformer.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Musiq: Multi-scale image quality transformer

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.688299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f84f2623-e009-4f44-a113-50702df349b4 · outbound

This paper cites Ntire 2022 chal- lenge on perceptual image quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Ntire 2022 chal- lenge on perceptual image quality assessment

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.741559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dabf6d01-e1cd-46eb-9927-0515cb084128 · outbound

This paper cites Deep cnn-based blind image quality predictor.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Deep cnn-based blind image quality predictor

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.659510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e06792d-b5a0-4d87-af12-73ce226b26dd · outbound

This paper cites Deep portrait quality assessment.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Deep portrait quality assessment

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.871184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7a3e4e67-7a94-494a-84c7-512585782103 · outbound

This paper cites Most apparent distortion: full-reference image quality assessment and the role of strategy.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Most apparent distortion: full-reference image quality assessment and the role of strategy

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.645223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 49a065ac-aa23-46de-aa2f-5cf7996fddb5 · outbound

This paper cites No-reference image quality assessment in the spatial domain.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook No-reference image quality assessment in the spatial domain

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.464215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5b39df77-8f3f-4670-b707-1fdd32fc4b17 · outbound

This paper cites New full-reference quality metrics based on hvs.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook New full-reference quality metrics based on hvs

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.813369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27b34257-7b01-4ea4-9267-0a8b24d96ffe · outbound

This paper cites Image quality assessment: Unifying structure and texture similarity.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Image quality assessment: Unifying structure and texture similarity

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.827938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fe9cd1f-ab0d-4c83-8923-1031f4e8b152 · outbound

This paper cites Full reference image quality metrics for jpeg compressed im- ages.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Full reference image quality metrics for jpeg compressed im- ages

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.755873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27dc3a4a-bc3e-4ad3-94a9-be91e72ca206 · outbound

This paper cites Methodology for the subjective as- sessment of the quality of television pictures.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Methodology for the subjective as- sessment of the quality of television pictures

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.377618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4a96ecf-26bd-433a-8fdd-ae7e2aec56ad · outbound

This paper cites Vsnr: A wavelet-based visual signal-to-noise ratio for natural images.

A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook Vsnr: A wavelet-based visual signal-to-noise ratio for natural images

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:44:29.857162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 5c81be46-0439-4abd-a6fb-49b6c46a2594 · inbound

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality cites this paper.

Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:11:26.293988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8c062d-f04d-4bbb-93a7-d81c2d50e620 · inbound

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings cites this paper.

Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T11:20:56.834104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11bcfe5e-b6ed-407a-b71c-300fe70dffeb · inbound

A Causally Grounded Taxonomy for Image Degradation Robustness Evaluation cites this paper.

A Causally Grounded Taxonomy for Image Degradation Robustness Evaluation A Survey on Image Quality Assessment: Insights, Analysis, and Future Outlook

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:08:54.191988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.