Paper Citation Record · LEDGER

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2502.05995.

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

pith.paper-citation-record.v1
2502.05995 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:10:50.030848Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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verified fuzzy32
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db158124-3f64-416a-b8de-6ffc1600e325 · outbound

This paper cites an unresolved cited work.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:10:50.632139Z

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Observation 5ec709d5-5162-45f7-a7a8-0a9466eec7d4 · outbound

This paper cites Brubaker, and Michael S.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Brubaker, and Michael S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.618700Z

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Observation 7d44e23d-db2f-44f0-8222-9ce07328fa4b · outbound

This paper cites Flash and storm: Fast and highly practical tone mapping based on naka-rushton equation.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Flash and storm: Fast and highly practical tone mapping based on naka-rushton equation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.604651Z

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Observation dc6988dc-e069-4eea-886f-e71e77820b79 · outbound

This paper cites Unsupervised learning for color constancy, 2019.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Unsupervised learning for color constancy, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.584071Z

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Observation 4c866118-3345-4067-8dc4-6cb5aac5616d · outbound

This paper cites Quasi-unsupervised color constancy.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Quasi-unsupervised color constancy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.567948Z

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Observation 896e0079-7898-4f11-81a7-b2d0f44059b3 · outbound

This paper cites an unresolved cited work.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:10:50.552173Z

Source-reported events for the cited work

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Observation 610a4696-e33a-4a37-97b8-c28913160e69 · outbound

This paper cites A spatial processor model for object colour perception.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A spatial processor model for object colour perception

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.539296Z

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Observation 380ca508-b79d-439e-b491-3650ac1dd265 · outbound

This paper cites Learning to see in the dark, 2018.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Learning to see in the dark, 2018

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.525459Z

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Observation e7f9d72d-a1db-421b-a98a-29b7e1586a3e · outbound

This paper cites Prasad, and Michael S.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Prasad, and Michael S

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.513323Z

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Observation 6ead9354-89b9-4451-8875-06896adbf211 · outbound

This paper cites Learning enriched illuminants for cross and single sensor color constancy, 2022.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Learning enriched illuminants for cross and single sensor color constancy, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.500525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e7ac59e3-8f32-4693-b748-376c2e2a16d0 · outbound

This paper cites Image denoising by sparse 3-d transform-domain collaborative filtering.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Image denoising by sparse 3-d transform-domain collaborative filtering

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.484523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe8437ce-ddf6-4bb1-8695-6e9870ba61af · outbound

This paper cites Illumination estimation challenge: experience of past two years, 2020.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Illumination estimation challenge: experience of past two years, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.469324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53ff40ab-708f-4db8-9033-fd12fcafb9ac · outbound

This paper cites The cube++ illumination estimation dataset.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement The cube++ illumination estimation dataset

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.455401Z

Source-reported events for the cited work

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Observation 848a3f0a-6b46-483b-910c-60e873fea284 · outbound

This paper cites Bayesian color constancy revisited.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Bayesian color constancy revisited

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.441929Z

Source-reported events for the cited work

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Observation 943720e3-6ce5-457d-90da-30dbd47b38c8 · outbound

This paper cites Barron, Samuel W.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Barron, Samuel W

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.428164Z

Source-reported events for the cited work

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Observation d41fb8ff-d88d-4d73-96ec-d2f342efc50d · outbound

This paper cites Deep residual learning for image recognition, 2015.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Deep residual learning for image recognition, 2015

Reference 16

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Observation c379f78a-82f7-4b60-8f61-866a3cb79797 · outbound

This paper cites Rehabilitating the ColorChecker Dataset for Illuminant Estimation.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Rehabilitating the ColorChecker Dataset for Illuminant Estimation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:10:50.108410Z

Source-reported events for the cited work

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Observation 18fcf698-422e-4d3b-abd6-4557f295e4ab · outbound

This paper cites A comprehensive survey of deep learning for image captioning.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A comprehensive survey of deep learning for image captioning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.409044Z

Source-reported events for the cited work

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Observation 4ac2859b-e24b-4ad9-a728-e342ad68e3f9 · outbound

This paper cites Aim 2020 challenge on learned image signal processing pipeline, 2020.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Aim 2020 challenge on learned image signal processing pipeline, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.396048Z

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Observation 493695e6-7b07-475b-937b-8b6b944a8348 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015

Reference 20

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Observation 26c313f2-55ab-4183-bfa6-aab6cd9d1f3b · outbound

This paper cites Nighttime image enhancement based on image decomposition.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Nighttime image enhancement based on image decomposition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.376569Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21631a9d-41e7-4932-ba49-fbcd5a6378ea · outbound

This paper cites A software platform for manipulating the camera imaging pipeline.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A software platform for manipulating the camera imaging pipeline

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.364896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 810145d1-7d10-4604-a902-dd5c1344b9ae · outbound

This paper cites A review on image enhancement with deep learning approach.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A review on image enhancement with deep learning approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.352276Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15976ade-628e-4c78-b853-a7dd13165df3 · outbound

This paper cites Restoring extremely dark images in real time.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Restoring extremely dark images in real time

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.339068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fb7ad32-7e38-411d-a5e5-c95f920ed327 · outbound

This paper cites Robust white balance estimation using joint attention and angular loss optimization.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Robust white balance estimation using joint attention and angular loss optimization

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.326136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1591090e-af53-44d2-9dcc-e7aa81c9af98 · outbound

This paper cites A Comprehensive Survey on Data-Efficient GANs in Image Generation.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A Comprehensive Survey on Data-Efficient GANs in Image Generation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:10:50.092399Z

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Observation 3c9f597e-d815-40c0-8f31-824f37f2421c · outbound

This paper cites Swinir: Image restoration using swin transformer, 2021.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Swinir: Image restoration using swin transformer, 2021

Reference 27

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Observation ea4d602e-9e8f-4838-bb5e-1a2824e47218 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows, 2021.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Swin transformer: Hierarchical vision transformer using shifted windows, 2021

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:10:49.972017Z

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Observation 20096f89-6a4d-4149-833e-baecdf83a145 · outbound

This paper cites A convnet for the 2020s, 2022.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A convnet for the 2020s, 2022

Reference 29

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Observation 6fdc49fc-aecc-4648-917f-801c7707fa8d · outbound

This paper cites Demosaicing with directional filtering and a posteriori decision.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Demosaicing with directional filtering and a posteriori decision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.293614Z

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Observation 7c179d87-433e-4e39-a3ce-fd0868431049 · outbound

This paper cites On finding gray pixels, 2019.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement On finding gray pixels, 2019

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.281893Z

Source-reported events for the cited work

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Observation 18ef23a0-52a0-47f2-811f-1afa9908115d · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 32

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Observation cefc1be1-cfe4-4a53-82e3-6d393b850773 · outbound

This paper cites Ntire 2023 challenge on night photography rendering.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Ntire 2023 challenge on night photography rendering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.260632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71daea10-31f7-42d1-8138-d356b105770b · outbound

This paper cites A survey of deep learning-based low-light image enhancement.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A survey of deep learning-based low-light image enhancement

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.245449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 229b00c7-cb28-4ffb-8392-8bc9b07afb1b · outbound

This paper cites Tomasi and R.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Tomasi and R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.232578Z

Source-reported events for the cited work

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Observation c7e0030b-fe59-4698-9a82-ed1af2d760a4 · outbound

This paper cites Instance normalization: The missing ingredient for fast stylization, 2017.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Instance normalization: The missing ingredient for fast stylization, 2017

Reference 36

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Source-reported events for the cited work

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Observation 04fb96d1-ae9e-4f38-9b17-3e018ce30bda · outbound

This paper cites Unpaired learning for high dynamic range image tone mapping, 2021.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Unpaired learning for high dynamic range image tone mapping, 2021

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.213094Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eefcdb8c-cb3e-4858-a681-eb3f53a9b504 · outbound

This paper cites An experiment-based review of low-light image enhancement methods.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement An experiment-based review of low-light image enhancement methods

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.201160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea87a171-c33a-4af9-adb4-835c7782e57f · outbound

This paper cites A trilateral weighted sparse coding scheme for real-world image denoising, 2018.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A trilateral weighted sparse coding scheme for real-world image denoising, 2018

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.187495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7f3a506-885d-4ee3-8e18-79600dbef0cd · outbound

This paper cites A bio-inspired multi-exposure fusion framework for low-light image enhancement, 2017.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement A bio-inspired multi-exposure fusion framework for low-light image enhancement, 2017

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.168825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7354c1a-0821-4905-9a14-cec70785bc9e · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration, 2022.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Restormer: Efficient transformer for high-resolution image restoration, 2022

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.148141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca8586e6-563b-47b5-ab05-c8b3ca042b9b · outbound

This paper cites Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:10:50.074165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 941c913d-88b7-4ea0-a11d-18d4770765c2 · outbound

This paper cites Shallow camera pipeline for night photography rendering, 2022.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Shallow camera pipeline for night photography rendering, 2022

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.130990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b879be8c-5bbb-4b31-beba-ed72a1153993 · outbound

This paper cites Back to the future: a night photography rendering isp without deep learning.

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement Back to the future: a night photography rendering isp without deep learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:10:50.119527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.