Papers Document Shadow Removal
“Document Shadow Removal” 태그가 달린 논문 17편 · 필터 해제
Leveraging Contrast Information for Efficient Document Shadow Removal
Document shadows are a major obstacle in the digitization process. Due to the dense information in text and patterns covered by shadows, document shadow removal requires specialized methods. Existing document shadow remo…
Document Shadow RemovalShadow RemovalShaDocFormer: A Shadow-Attentive Threshold Detector With Cascaded Fusion Refiner for Document Shadow Removal
Document shadow is a common issue that arises when capturing documents using mobile devices, which significantly impacts readability. Current methods encounter various challenges, including inaccurate detection of shadow…
Document Shadow RemovalShadow RemovalHigh-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net
Shadows often occur when we capture the documents with casual equipment, which influences the visual quality and readability of the digital copies. Different from the algorithms for natural shadow removal, the algorithms…
Document Shadow RemovalImage Shadow RemovalShadow RemovalDocDeshadower: Frequency-Aware Transformer for Document Shadow Removal
Shadows in scanned documents pose significant challenges for document analysis and recognition tasks due to their negative impact on visual quality and readability. Current shadow removal techniques, including traditiona…
Document Shadow RemovalShadow RemovalShadow Removal of Text Document Images Using Background Estimation and Adaptive Text Enhancement
This paper proposes a simple yet effective method to re-move shadows from text document images. It mainly includes several parts. Firstly, we propose a text elimination-based background extraction strategy to estimate sh…
BinarizationDocument Shadow RemovalImage Shadow RemovalShadow RemovalLP-IOANet: Efficient High Resolution Document Shadow Removal
Document shadow removal is an integral task in document enhancement pipelines, as it improves visibility, readability and thus the overall quality. Assuming that the majority of practical document shadow removal scenario…
Document EnhancementDocument Shadow RemovalShadow RemovalVocal Bursts Intensity PredictionDocument Image Shadow Removal Guided by Color-Aware Background
Existing works on document image shadow removal mostly depend on learning and leveraging a constant background (the color of the paper) from the image. However, the constant background is less representative and freq…
DecoderDocument Shadow RemovalImage Shadow RemovalShadow RemovalShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Shadow removal improves the visual quality and legibility of digital copies of documents. However, document shadow removal remains an unresolved subject. Traditional techniques rely on heuristics that vary from situation…
Document Shadow RemovalImage Shadow RemovalShadow DetectionShadow RemovalDocument Shadow Removal with Foreground Detection Learning From Fully Synthetic Images
Shadow removal for document images is a major task for digitized document applications. Recent shadow removal models have been trained on pairs of shadow images and shadow-free images. However, obtaining a large-scale an…
Document Shadow RemovalShadow RemovalLocal Water-Filling Algorithm for Shadow Detection and Removal of Document Images
Shadow detection and removal is an important task for digitized document applications. It is hard for many methods to distinguish shadow from printed text due to the high darkness similarity. In this paper, we propose a …
Document Shadow RemovalShadow DetectionShadow Detection And RemovalShadow RemovalIntrinsic Decomposition of Document Images In-the-Wild
Automatic document content processing is affected by artifacts caused by the shape of the paper, non-uniform and diverse color of lighting conditions. Fully-supervised methods on real data are impossible due to the large…
Document Shadow RemovalIntrinsic Image DecompositionOptical Character Recognition (OCR)Shadow RemovalBEDSR-Net: A Deep Shadow Removal Network From a Single Document Image
Removing shadows in document images enhances both the visual quality and readability of digital copies of documents. Most existing shadow removal algorithms for document images use hand-crafted heuristics and are often n…
Document Shadow RemovalImage Shadow RemovalShadow RemovalAn Effective Background Estimation Method for Shadows Removal of Document Images
Shadows of document images bring about difficulties for digitization application and uncomfortable perception in vision. This paper proposes an effective method to remove shadows from the single document images, which co…
Document Shadow RemovalShadow DetectionShadow RemovalWater-Filling: An Efficient Algorithm for Digitized Document Shadow Removal
In this paper, we propose a novel algorithm to rectify illumination of the digitized documents by eliminating shading artifacts. Firstly, a topographic surface of an input digitized document is created using luminance va…
Document Shadow RemovalShadow RemovalAn Iterative Approach for Shadow Removal in Document Images
Uneven illumination and shadows in document images cause a challenge for digitization applications and automated workflows. In this work, we propose a new method to recover unshadowed document images from images with sha…
Document Shadow RemovalShadow RemovalDocument Enhancement Using Visibility Detection
This paper re-visits classical problems in document enhancement. Rather than proposing a new algorithm for a specific problem, we introduce a novel general approach. The key idea is to modify any state- of-the-art algori…
BinarizationDocument EnhancementDocument Shadow RemovalRemoving Shadows from Images of Documents
In this work, we automatically detect and remove distracting shadows from photographs of documents and other text-based items. Documents typically have a constant colored background; based on this observation, we propose…
Document Shadow Removal