Papers Document Enhancement
“Document Enhancement” 태그가 달린 논문 13편 · 필터 해제
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
Document images are often degraded by various stains, significantly impacting their readability and hindering downstream applications such as document digitization and analysis. The absence of a comprehensive stained doc…
Document EnhancementFeature ImportanceImage EnhancementImage RestorationRealitySummary: Exploring On-Demand Mixed Reality Text Summarization and Question Answering using Large Language Models
Large Language Models (LLMs) are gaining popularity as tools for reading and summarization aids. However, little is known about their potential benefits when integrated with mixed reality (MR) interfaces to support every…
Document EnhancementMixed RealityOptical Character Recognition (OCR)Question Answering+1NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document Enhancement
Real-world documents may suffer various forms of degradation, often resulting in lower accuracy in optical character recognition (OCR) systems. Therefore, a crucial preprocessing step is essential to eliminate noise whil…
BinarizationDocument EnhancementOptical Character RecognitionOptical Character Recognition (OCR)DECDM: Document Enhancement using Cycle-Consistent Diffusion Models
The performance of optical character recognition (OCR) heavily relies on document image quality, which is crucial for automatic document processing and document intelligence. However, most existing document enhancement m…
Data AugmentationDenoisingDocument EnhancementOptical Character Recognition+3DocDiff: Document Enhancement via Residual Diffusion Models
Removing degradation from document images not only improves their visual quality and readability, but also enhances the performance of numerous automated document analysis and recognition tasks. However, existing regress…
DeblurringDenoisingDocument EnhancementLP-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 PredictionText-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement
In this paper, we propose a Text-Degradation Invariant Auto Encoder (Text-DIAE), a self-supervised model designed to tackle two tasks, text recognition (handwritten or scene-text) and document image enhancement. We start…
Document EnhancementImage EnhancementScene Text RecognitionEvaluating Deep Neural Networks for Image Document Enhancement
This work evaluates six state-of-the-art deep neural network (DNN) architectures applied to the problem of enhancing camera-captured document images. The results from each network were evaluated both qualitatively and qu…
Deep LearningDocument EnhancementImage EnhancementImage Quality AssessmentLight-weight Document Image Cleanup using Perceptual Loss
Smartphones have enabled effortless capturing and sharing of documents in digital form. The documents, however, often undergo various types of degradation due to aging, stains, or shortcoming of capturing environment suc…
DecoderDocument EnhancementTransfer LearningDE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Documents often exhibit various forms of degradation, which make it hard to be read and substantially deteriorate the performance of an OCR system. In this paper, we propose an effective end-to-end framework named Docume…
BinarizationDeblurringDocument EnhancementGenerative Adversarial Network+1Document Enhancement System Using Auto-encoders
The conversion of scanned documents to digital forms is performed using an Optical Character Recognition (OCR) software. This work focuses on improving the quality of scanned documents in order to improve the OCR output.…
DenoisingDocument EnhancementOptical Character RecognitionOptical Character Recognition (OCR)DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning
This paper presents a novel iterative deep learning framework and apply it for document enhancement and binarization. Unlike the traditional methods which predict the binary label of each pixel on the input image, we tra…
BinarizationDeep LearningDocument EnhancementDocument 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 Removal