Papers highlight removal
“highlight removal” 태그가 달린 논문 15편 · 필터 해제
Single Document Image Highlight Removal via A Large-Scale Real-World Dataset and A Location-Aware Network
Reflective documents often suffer from specular highlights under ambient lighting, severely hindering text readability and degrading overall visual quality. Although recent deep learning methods show promise in highlight…
highlight removalHierarchical Adaptive Filtering Network for Text Image Specular Highlight Removal
Despite significant advances in the field of specular highlight removal in recent years, existing methods predominantly focus on natural images, where highlights typically appear on raised or edged surfaces of object…
highlight removalImage ReconstructionDual-Hybrid Attention Network for Specular Highlight Removal
Specular highlight removal plays a pivotal role in multimedia applications, as it enhances the quality and interpretability of images and videos, ultimately improving the performance of downstream tasks such as content-b…
highlight removalObject RecognitionScene UnderstandingSpecular Reflection MitigationA Highlight Removal Method for Capsule Endoscopy Images
The images captured by Wireless Capsule Endoscopy (WCE) always exhibit specular reflections, and removing highlights while preserving the color and texture in the region remains a challenge. To address this issue, this p…
highlight removalJoint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data
Specular highlights in images pose a significant challenge in algorithms for image segmentation, object detection and other image-based decision-making systems. However, most systems ignore this particular scenario and n…
Decision MakingGenerative Adversarial NetworkHighlight Detectionhighlight removal+5Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data
This paper aims to remove specular highlights from a single object-level image. Although previous methods have made some progresses, their performance remains somewhat limited, particularly for real images with complex s…
highlight removalObjectEstimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning
Estimating the reflectance layer from a single image is a challenging task. It becomes more challenging when the input image contains shadows or specular highlights, which often render an inaccurate estimate of the refle…
highlight removalIntrinsic Image DecompositionShadow RemovalM2-Net: Multi-stages Specular Highlight Detection and Removal in Multi-scenes
In this paper, we propose a novel uniformity framework for highlight detection and removal in multi-scenes, including synthetic images, face images, natural images, and text images. The framework consists of three main c…
Highlight Detectionhighlight removalSingle-Image Specular Highlight Removal via Real-World Dataset Construction
Specular reflections pose great challenges on various multimedia and computer vision tasks, e.g. , image segmentation, detection and matching. In this paper, we build a large-scale Paired Specular-Diffuse (PSD) image dat…
Generative Adversarial NetworkHighlight Detectionhighlight removalImage Segmentation+1Text-Aware Single Image Specular Highlight Removal
Removing undesirable specular highlight from a single input image is of crucial importance to many computer vision and graphics tasks. Existing methods typically remove specular highlight for medical images and specific-…
Highlight Detectionhighlight removalText DetectionA Multi-Task Network for Joint Specular Highlight Detection and Removal
Specular highlight detection and removal are fundamental and challenging tasks. Although recent methods achieve promising results on the two tasks by supervised training on synthetic training data, they are typically…
16kHighlight Detectionhighlight removalPolarization Guided Specular Reflection Separation
Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring advantages to multiple applications that re…
highlight removalSingle Image Highlight Removal with a Sparse and Low-Rank Reflection Model
We propose a sparse and low-rank reflection model for specular highlight detection and removal using a single input image. This model is motivated by the observation that the specular highlight of a natural image usually…
Highlight Detectionhighlight removalSpecular Highlight Removal in Facial Images
We present a method for removing specular highlight reflections in facial images that may contain varying illumination colors. This is accurately achieved through the use of physical and statistical properties of human s…
highlight removalFast and High Quality Highlight Removal from A Single Image
Specular reflection exists widely in photography and causes the recorded color deviating from its true value, so fast and high quality highlight removal from a single nature image is of great importance. In spite of the …
ClusteringDiversityhighlight removalVocal Bursts Intensity Prediction