On the public citation graph

Toward Specular Removal from Natural Images Based on Statistical Reflection Models

https://doi.org/10.1109/tip.2020.2967857

0 signed · 81 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/10.1002/col.5080100409openalex-snapshot

Using color to separate reflection components

inferredcites →https://doi.org/10.1002/cpa.20132openalex-snapshot

For most large underdetermined systems of linear equations the minimal 𝓁 1 ‐norm solution is also the sparsest solution

inferredcites →https://doi.org/10.1007/978-3-030-01225-0_17openalex-snapshot

Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

inferredcites →https://doi.org/10.1007/978-3-319-10602-1_15openalex-snapshot

Intrinsic Face Image Decomposition with Human Face Priors

inferredcites →https://doi.org/10.1007/978-3-642-15561-1_7openalex-snapshot

Real-Time Specular Highlight Removal Using Bilateral Filtering

inferredcites →https://doi.org/10.1007/s11265-014-0913-0openalex-snapshot

Sparse Coding with Anomaly Detection

inferredcites →https://doi.org/10.1016/j.amc.2017.08.001openalex-snapshot

Modification of TV-ROF denoising model based on Split Bregman iterations

inferredcites →https://doi.org/10.1038/343165a0openalex-snapshot

Does the brain know the physics of specular reflection?

inferredcites →https://doi.org/10.1049/iet-ipr.2017.0302openalex-snapshot

Spatially adaptive total variation deblurring with split Bregman technique

inferredcites →https://doi.org/10.1080/01431161.2017.1346325openalex-snapshot

Texture image prior for SAR image super resolution based on total variation regularization using split Bregman iteration

inferredcites →https://doi.org/10.1109/34.50626openalex-snapshot

Modeling light reflection for computer color vision

inferredcites →https://doi.org/10.1109/access.2018.2825323openalex-snapshot

Split Bregman Algorithm for Structured Sparse Reconstruction

inferredcites →https://doi.org/10.1109/cvpr.2006.273openalex-snapshot

Separation of Highlight Reflections on Textured Surfaces

inferredcites →https://doi.org/10.1109/cvpr.2008.4587660openalex-snapshot

Intrinsic image decomposition with non-local texture cues

inferredcites →https://doi.org/10.1109/cvpr.2013.192openalex-snapshot

Specular Reflection Separation Using Dark Channel Prior

inferredcites →https://doi.org/10.1109/cvpr.2015.7298996openalex-snapshot

Saturation-preserving specular reflection separation

inferredcites →https://doi.org/10.1109/cvpr.2017.297openalex-snapshot

Specular Highlight Removal in Facial Images

inferredcites →https://doi.org/10.1109/icaci.2012.6463349openalex-snapshot

Split Bregman algorithms for block-sparse reconstruction

inferredcites →https://doi.org/10.1109/iccv.2001.937606openalex-snapshot

Deriving intrinsic images from image sequences

inferredcites →https://doi.org/10.1109/iccv.2013.127openalex-snapshot

Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation

inferredcites →https://doi.org/10.1109/iccvw.2011.6130280openalex-snapshot

On building an accurate stereo matching system on graphics hardware

inferredcites →https://doi.org/10.1109/isesd.2016.7886736openalex-snapshot

Sparse coded decomposition for single image-based specular removal

inferredcites →https://doi.org/10.1109/sibgrapi.2018.00014openalex-snapshot

Real-Time High-Quality Specular Highlight Removal Using Efficient Pixel Clustering

inferredcites →https://doi.org/10.1109/tcsvt.2016.2615324openalex-snapshot

Fast Optical Flow Estimation Based on the Split Bregman Method

inferredcites →https://doi.org/10.1109/tgrs.2013.2264508openalex-snapshot

Spectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering

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.2013.2244222openalex-snapshot

Image Fusion With Guided Filtering

inferredcites →https://doi.org/10.1109/tip.2016.2605002openalex-snapshot

Fast and High Quality Highlight Removal From a Single Image

inferredcites →https://doi.org/10.1109/tip.2017.2675204openalex-snapshot

Specular Reflection Separation With Color-Lines Constraint

inferredcites →https://doi.org/10.1109/tpami.2005.185openalex-snapshot

Recovering intrinsic images from a single image

inferredcites →https://doi.org/10.1109/tpami.2005.36openalex-snapshot

Separating reflection components of textured surfaces using a single image

inferredcites →https://doi.org/10.1109/tpami.2007.1177openalex-snapshot

A Closed-Form Solution to Natural Image Matting

inferredcites →https://doi.org/10.1109/tpami.2010.168openalex-snapshot

Single Image Haze Removal Using Dark Channel Prior

inferredcites →https://doi.org/10.1109/tpami.2012.156openalex-snapshot

Fast Cost-Volume Filtering for Visual Correspondence and Beyond

inferredcites →https://doi.org/10.1109/tpami.2012.213openalex-snapshot

Guided Image Filtering

inferredcites →https://doi.org/10.1109/tpami.2015.2439286openalex-snapshot

Intrinsic Scene Properties from a Single RGB-D Image

inferredcites →https://doi.org/10.1137/080725891openalex-snapshot

The Split Bregman Method for L1-Regularized Problems

inferredcites →https://doi.org/10.1145/1141911.1141987openalex-snapshot

Analysis of human faces using a measurement-based skin reflectance model

inferredcites →https://doi.org/10.1145/1201775.882269openalex-snapshot

Poisson image editing

inferredcites →https://doi.org/10.1145/1618452.1618476openalex-snapshot

User-assisted intrinsic images

inferredcites →https://doi.org/10.1145/882262.882269openalex-snapshot

Poisson image editing

inferredcites →https://doi.org/10.1364/ao.52.004483openalex-snapshot

Real-time highlight removal using intensity ratio

inferredcites →https://doi.org/10.2307/1575357openalex-snapshot

Fundamentals of Three-Dimensional Computer Graphics

inferredcites →https://doi.org/10.48550/arxiv.1210.5644openalex-snapshot

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

inferredcites →https://doi.org/10.5860/choice.28-0345openalex-snapshot

Fundamentals of three-dimensional computer graphics

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4663644openalex-extracted

Fast High Quality Highlight Removal Using a Matrix Iteration Method

inferred← citeshttps://doi.org/10.1007/978-3-030-88010-1_7openalex-snapshot

Single Image Specular Highlight Removal on Natural Scenes

inferred← citeshttps://doi.org/10.1007/978-3-030-88013-2_10openalex-snapshot

Text-Aware Single Image Specular Highlight Removal

inferred← citeshttps://doi.org/10.1007/978-3-031-70533-5_5openalex-snapshot

Document Specular Highlight Removal with Coarse-to-Fine Strategy

inferred← citeshttps://doi.org/10.1007/978-3-031-78198-8_12openalex-snapshot

Specular Region Detection and Covariant Feature Extraction

inferred← citeshttps://doi.org/10.1007/978-981-97-8685-5_35openalex-snapshot

Towards Specular Highlight Removal Through Diffusion Model

inferred← citeshttps://doi.org/10.1007/s10462-025-11233-7openalex-snapshot

A comprehensive survey of specularity detection: state-of-the-art techniques and breakthroughs

inferred← citeshttps://doi.org/10.1007/s10489-020-01923-wopenalex-snapshot

An automatic framework for endoscopic image restoration and enhancement

inferred← citeshttps://doi.org/10.1007/s11042-022-13706-1openalex-snapshot

A fast and effective algorithm for specular reflection image enhancement

inferred← citeshttps://doi.org/10.1016/j.aei.2024.102838openalex-snapshot

A three-stage framework for accurate detection of high-speed train body paint film defects

inferred← citeshttps://doi.org/10.1016/j.displa.2024.102930openalex-snapshot

A fast specular removal method for a single real image

inferred← citeshttps://doi.org/10.1016/j.optcom.2023.129467openalex-snapshot

Specular highlight removal and depth estimation based on polarization characteristics of light field

inferred← citeshttps://doi.org/10.1016/j.optlaseng.2021.106939openalex-snapshot

Specular highlight removal of light field based on dichromatic reflection and total variation optimizations

inferred← citeshttps://doi.org/10.1016/j.optlaseng.2023.107856openalex-snapshot

Specular highlight removal based on dichromatic reflection model and priority-based adaptive direction with light field camera

inferred← citeshttps://doi.org/10.1016/j.optlaseng.2024.108079openalex-snapshot

Anti-noise light field depth measurement using specular highlight removal

inferred← citeshttps://doi.org/10.1016/j.optlastec.2026.115171openalex-snapshot

Shift-window meets dual attention: A multi-model architecture for specular highlight removal

inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109641openalex-snapshot

Fast high quality highlight removal using a simplified matrix iteration method

inferred← citeshttps://doi.org/10.1049/ipr2.12839openalex-snapshot

Effectiveness of specularity removal from hyperspectral images in the colour spectral measurement of wool fibres

inferred← citeshttps://doi.org/10.1109/access.2021.3128939openalex-snapshot

An Effective Algorithm for Specular Reflection Image Enhancement

inferred← citeshttps://doi.org/10.1109/cac67268.2025.11487357openalex-snapshot

A Guided Adversarial Flow Matching Network for Highlight Removal

inferred← citeshttps://doi.org/10.1109/iccv51070.2023.01181openalex-snapshot

Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.00680openalex-snapshot

Neural Solver of Dichromatic Reflection Model for Specular Highlight Removal

inferred← citeshttps://doi.org/10.1109/iccv51701.2025.01514openalex-snapshot

One-Step Specular Highlight Removal with Adapted Diffusion Models

inferred← citeshttps://doi.org/10.1109/icet58434.2023.10211753openalex-snapshot

Adaptive Blocks Filling Specular Highlight Removal Algorithm

inferred← citeshttps://doi.org/10.1109/lsp.2024.3396670openalex-snapshot

Contrastive Semi-Supervised Learning for Image Highlight Removal

inferred← citeshttps://doi.org/10.1109/tgrs.2023.3298054openalex-snapshot

An Unsupervised Deep Learning Method for Direct Seismic Deblending in Shot Domain

inferred← citeshttps://doi.org/10.1109/tii.2023.3297613openalex-snapshot

Specular Removal of Industrial Metal Objects Without Changing Lighting Configuration

inferred← citeshttps://doi.org/10.1109/tim.2025.3558233openalex-snapshot

Single-Pixel Fiber Bundle Imaging for Specular Highlight Removal

inferred← citeshttps://doi.org/10.1109/tip.2020.3038519openalex-snapshot

Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method

inferred← citeshttps://doi.org/10.1109/tip.2020.3046056openalex-snapshot

2020 Index IEEE Transactions on Image Processing Vol. 29

inferred← citeshttps://doi.org/10.1145/3394171.3413586openalex-snapshot

Learning to Detect Specular Highlights from Real-world Images

inferred← citeshttps://doi.org/10.1364/oe.581122openalex-snapshot

Large-area specular highlight removal based on disparity layering and multi-strategy hierarchical restoration with light field camera arrays

inferred← citeshttps://doi.org/10.3390/s22176552openalex-snapshot

SpecSeg Network for Specular Highlight Detection and Segmentation in Real-World Images

inferred← citeshttps://doi.org/10.48550/arxiv.2108.06881openalex-snapshot

Text-Aware Single Image Specular Highlight Removal

inferred← citeshttps://doi.org/10.54691/bcpbm.v25i.1763openalex-snapshot

Reflections and Conclusions on Feedback Models

inferred← citeshttps://doi.org/10.70675/a0278a18zc239z415az955dz9cd80ee1a54aopenalex-snapshot

Specular highlight mitigation using unsupervised multi-domain adversarial generation of specularity-free images inferred from polarimetric data

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.