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highlight removal

Highlight removal refers to the process of eliminating or reducing the presence of specular highlights in an image. Specular highlights are bright spots or reflections that occur when light reflects off a shiny or reflective surface, such as glass, metal, or oily skin. These highlights can often obscure or distort the underlying details of the image, making it difficult to analyze or process.

Papers

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Showing 1–15 of 15 papers

TitleStatusHype
Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic DataCode1
Dual-Hybrid Attention Network for Specular Highlight RemovalCode1
Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware LearningCode1
M2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenesCode1
Single-Image Specular Highlight Removal via Real-World Dataset ConstructionCode1
Text-Aware Single Image Specular Highlight RemovalCode1
Hierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal—0
Specular Highlight Removal in Facial Images—0
A Multi-Task Network for Joint Specular Highlight Detection and Removal—0
A Highlight Removal Method for Capsule Endoscopy Images—0
Fast and High Quality Highlight Removal from A Single Image—0
Single Document Image Highlight Removal via A Large-Scale Real-World Dataset and A Location-Aware Network—0
Polarization Guided Specular Reflection SeparationCode0
Single Image Highlight Removal with a Sparse and Low-Rank Reflection ModelCode0
Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric dataCode0
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