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Paper Citation Record · LEDGER

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.11090.

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

pith.paper-citation-record.v1
2607.11090 v1

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measured 48 of 48 reference resolution

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measured 48 of 48 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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48 of 48 outbound references displayed

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Outbound references

Observation 8906f95c-8133-412d-9ff1-138e6aa9474b · outbound

This paper cites Ma ˆıtre,From photon to pixel: the digital camera hand- book.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Ma ˆıtre,From photon to pixel: the digital camera hand- book

Reference 1

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Observation 8b45f7f0-3a82-412e-a941-d4ab3b744a50 · outbound

This paper cites Deep joint demosaicking and denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Deep joint demosaicking and denoising,

Reference 2

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Observation 52f73446-801e-44af-bf2c-8e79c1d5fc7e · outbound

This paper cites Practical blind image denoising via Swin-Conv-UNet and data synthesis,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Practical blind image denoising via Swin-Conv-UNet and data synthesis,

Reference 3

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Observation 8e525c6e-8d45-4bda-beee-9042ff3621d9 · outbound

This paper cites Joint HDR denoising and fusion: A real- world mobile HDR image dataset,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Joint HDR denoising and fusion: A real- world mobile HDR image dataset,

Reference 4

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Observation 27a9eb48-3353-4cfa-8ea2-bd031a9c7a54 · outbound

This paper cites Rethinking learning- based demosaicing, denoising, and super-resolution pipeline,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Rethinking learning- based demosaicing, denoising, and super-resolution pipeline,

Reference 5

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Observation 87ad4ce6-ee52-4b79-affd-8fc6a86d9635 · outbound

This paper cites DNF: Decouple and feedback network for seeing in the dark,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising DNF: Decouple and feedback network for seeing in the dark,

Reference 6

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Observation d3a74a88-5c82-474d-9215-c068ea387155 · outbound

This paper cites IDF: Iterative dynamic filtering networks for generalizable image de- noising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising IDF: Iterative dynamic filtering networks for generalizable image de- noising,

Reference 7

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Observation 48f5dee2-3a11-4051-b589-c9df6da9ada4 · outbound

This paper cites Fast and high quality image denoising via malleable convolution,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Fast and high quality image denoising via malleable convolution,

Reference 8

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Observation bb29d03c-1849-4c6e-8f00-63aa4ebd5119 · outbound

This paper cites Plug-and-play image restoration with deep denoiser prior,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Plug-and-play image restoration with deep denoiser prior,

Reference 9

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Observation 99414249-b8be-49a7-84d4-6a2f421e1b08 · outbound

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

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Restormer: Efficient transformer for high-resolution image restoration,

Reference 10

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Observation fe7f09bd-f049-497a-bc5b-a32aa181ddf6 · outbound

This paper cites Simple base- lines for image restoration,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Simple base- lines for image restoration,

Reference 11

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Observation bae4be75-9aba-4456-8d6c-1010f29b8673 · outbound

This paper cites Noise flow: Noise modeling with conditional normal- izing flows,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise flow: Noise modeling with conditional normal- izing flows,

Reference 12

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Observation 7429e924-c904-4d67-b829-c3e2dfb776e2 · outbound

This paper cites Dark noise diffusion: Noise synthesis for low-light image denois- ing,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Dark noise diffusion: Noise synthesis for low-light image denois- ing,

Reference 13

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Observation 69a45d5d-1140-4730-87c4-baa1af9c160b · outbound

This paper cites Physics-guided ISO-dependent sensor noise modeling for extreme low-light photography,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Physics-guided ISO-dependent sensor noise modeling for extreme low-light photography,

Reference 14

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Observation 4016bb9f-a1a6-480b-8422-86b835281382 · outbound

This paper cites Towards general low-light raw noise syn- thesis and modeling,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Towards general low-light raw noise syn- thesis and modeling,

Reference 15

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Observation fd9188bc-6ef6-47a2-a4b5-8b6999b72279 · outbound

This paper cites Calibration-free raw image denoising via fine- grained noise estimation,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Calibration-free raw image denoising via fine- grained noise estimation,

Reference 16

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Observation 1070dfe8-96c4-43ca-a820-c9b058d947ba · outbound

This paper cites Rethinking noise synthesis and modeling in raw denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Rethinking noise synthesis and modeling in raw denoising,

Reference 17

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Observation 455d3f7a-54ca-4777-981b-63528ab569b6 · outbound

This paper cites Physics-based noise modeling for extreme low-light photography,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Physics-based noise modeling for extreme low-light photography,

Reference 18

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Observation 6c578699-865d-4714-a2f7-644f8f678ac5 · outbound

This paper cites Learnabil- ity enhancement for low-light raw denoising: Where paired real data meets noise modeling,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Learnabil- ity enhancement for low-light raw denoising: Where paired real data meets noise modeling,

Reference 19

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Observation 9291f86c-2b13-46b9-bcc4-d927d1f05168 · outbound

This paper cites MSFA image denoising using physics-based noise model and noise- decoupled network,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising MSFA image denoising using physics-based noise model and noise- decoupled network,

Reference 20

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Observation e859b4a3-a52d-47cd-8383-7f42c60e4491 · outbound

This paper cites Learning physics-informed noise models from dark frames for low-light raw image denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Learning physics-informed noise models from dark frames for low-light raw image denoising,

Reference 21

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Observation 3cd404f9-b343-42e2-99ff-89dfddba6c9b · outbound

This paper cites 2-shots in the dark: Low-light denoising with minimal data acquisi- tion,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising 2-shots in the dark: Low-light denoising with minimal data acquisi- tion,

Reference 22

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Observation f9937c57-ba49-4059-8a1b-104e0166ec8e · outbound

This paper cites Noise2Noise: Learning image restoration without clean data,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2Noise: Learning image restoration without clean data,

Reference 23

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Observation 2ea06df4-a9c6-4318-8830-b6abd12cbae8 · outbound

This paper cites Noise2Self: Blind denoising by self-supervision,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2Self: Blind denoising by self-supervision,

Reference 24

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Observation ded5946b-ce3e-4727-bfff-70ddea8b2e1a · outbound

This paper cites Noise2void- learning denoising from single noisy images,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2void- learning denoising from single noisy images,

Reference 25

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Observation c98fc647-24d6-469c-afec-9b7454d2fa1c · outbound

This paper cites Noise2Score: Tweedie’s approach to self-supervised image denoising without clean im- ages,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2Score: Tweedie’s approach to self-supervised image denoising without clean im- ages,

Reference 26

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Observation d2dd102f-da2a-45b9-872c-86d57a352adc · outbound

This paper cites Noise2Same: Optimizing a self-supervised bound for image denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2Same: Optimizing a self-supervised bound for image denoising,

Reference 27

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Observation a62908ef-5e26-4c95-9b94-9b07189ca2f8 · outbound

This paper cites Noise2Info: Noisy image to information of noise for self-supervised image denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise2Info: Noisy image to information of noise for self-supervised image denoising,

Reference 28

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Observation 29d5a2bd-ab4f-4365-961c-ab64c92e5c9a · outbound

This paper cites Self2Self with dropout: Learning self-supervised denoising from sin- gle image,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Self2Self with dropout: Learning self-supervised denoising from sin- gle image,

Reference 29

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Observation af3f421d-257d-4938-a2b4-9be5ca9c927b · outbound

This paper cites Blind2Unblind: Self-supervised image denoising with visible blind spots,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Blind2Unblind: Self-supervised image denoising with visible blind spots,

Reference 30

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Observation e3fa9fd4-df3e-469e-bcf2-e54ebb1f3743 · outbound

This paper cites Zero-shot Noise2Mean: Gap minimization for efficient denoising from a single noisy image,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Zero-shot Noise2Mean: Gap minimization for efficient denoising from a single noisy image,

Reference 31

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Observation 7a87bc2c-fc38-4ed8-85f2-6d21934d44bc · outbound

This paper cites Zero-shot Noise2Noise: Efficient image denoising without any data,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Zero-shot Noise2Noise: Efficient image denoising without any data,

Reference 32

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Observation c29e0a6f-9d43-44d8-ad68-515b8c483e1c · outbound

This paper cites AP-BSN: Self- supervised denoising for real-world images via asym- metric pd and blind-spot network,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising AP-BSN: Self- supervised denoising for real-world images via asym- metric pd and blind-spot network,

Reference 33

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Observation 8531c8b5-7526-49cf-9010-17c0e37200ca · outbound

This paper cites CVF-SID: Cyclic multi-variate function for self- supervised image denoising by disentangling noise from image,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising CVF-SID: Cyclic multi-variate function for self- supervised image denoising by disentangling noise from image,

Reference 34

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Observation f4c6d0b2-77be-439f-bc42-89e119aec194 · outbound

This paper cites YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency

Reference 35

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Observation 43a63526-6cb0-4cd6-8220-323927c2daa7 · outbound

This paper cites A high- quality denoising dataset for smartphone cameras,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising A high- quality denoising dataset for smartphone cameras,

Reference 36

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Observation 4944991c-4030-44f3-9a1e-648c6ff329ce · outbound

This paper cites Noise modeling in one hour: Minimizing preparation efforts for self-supervised low- light raw image denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Noise modeling in one hour: Minimizing preparation efforts for self-supervised low- light raw image denoising,

Reference 37

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Observation 1aa12553-b010-4c9a-8783-24d8e06fc797 · outbound

This paper cites Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Lighting every darkness in two pairs: A calibration-free pipeline for raw denoising,

Reference 38

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Observation ba557122-cbc6-49d4-846f-62750bd53b70 · outbound

This paper cites Image denoising in mixed Poisson–Gaussian noise,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Image denoising in mixed Poisson–Gaussian noise,

Reference 39

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Observation 2770a422-09a7-4a2c-a2ca-50effe10c763 · outbound

This paper cites Clipped noisy images: Heteroskedastic model- ing and practical denoising,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Clipped noisy images: Heteroskedastic model- ing and practical denoising,

Reference 40

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source=pdf_text observed=2026-07-14T07:08:41.788861Z digest=sha256:912de5b57b1dfd95411b6aac8048ac7027680a7e4fbd71c8e6492c0583d562e4

Observation 6890789a-41d9-4c4c-a165-770f5c879128 · outbound

This paper cites Practical Poissonian-Gaussian noise modeling and fit- ting for single-image raw-data,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Practical Poissonian-Gaussian noise modeling and fit- ting for single-image raw-data,

Reference 41

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source=pdf_text observed=2026-07-14T07:08:41.788861Z digest=sha256:46313250722c9e2e96eee3d09bee32307482c29cd4ae0858f2da0417fef09cc6

Observation 5fc05084-4c52-4b91-8d8b-955ba4e37521 · outbound

This paper cites Learning to see in the dark,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Learning to see in the dark,

Reference 42

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Observation 0bad6991-84de-4ed1-94ad-30b787b5abe2 · outbound

This paper cites U-Net: Convo- lutional networks for biomedical image segmentation,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising U-Net: Convo- lutional networks for biomedical image segmentation,

Reference 43

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Observation 020912b1-56a2-4cb6-80a7-0180cb1b9083 · outbound

This paper cites Adam: A method for stochastic optimization,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Adam: A method for stochastic optimization,

Reference 44

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Observation 7c4eb2bd-a3f3-46dc-a882-2e1c5159f41b · outbound

This paper cites The ciede2000 color-difference formula: Implementation notes, sup- plementary test data, and mathematical observations,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising The ciede2000 color-difference formula: Implementation notes, sup- plementary test data, and mathematical observations,

Reference 45

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Observation 0011c868-3845-4e4e-94d2-946681c02b8f · outbound

This paper cites Im- age denoising by sparse 3-D transform-domain collab- orative filtering,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Im- age denoising by sparse 3-D transform-domain collab- orative filtering,

Reference 46

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Observation 8f1dba05-aef0-494b-ae73-37f8181adb8a · outbound

This paper cites Exploring efficient asymmetric blind-spots for self-supervised de- noising in real-world scenarios,.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Exploring efficient asymmetric blind-spots for self-supervised de- noising in real-world scenarios,

Reference 47

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Observation cee937c6-45a1-48c7-84f8-6b4768657727 · outbound

This paper cites Combined (c), our method reaches a footprint comparable to the patch-based PGRQB (d) while keeping a∼2.8 dB PSNR advantage.

Why Low-Light Cameras Go Color Blind: Removing Color Bias in Raw Denoising Combined (c), our method reaches a footprint comparable to the patch-based PGRQB (d) while keeping a∼2.8 dB PSNR advantage

Reference 48

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