Noise Reduction in Document Image | Reinforcement Learning for images
Selective Image Denoising Using Reinforcement Learning | PhD Research Explained In this video, I break down my research work on selective denoising for document images (Bangla Newspaper Jugantar ) using reinforcement learning (RL)—an innovative approach to cleaning document images without damaging their content. Traditional denoising techniques often over-smooth or erase fine structural details like handwritten strokes, printed text, or layout elements. That’s where selective denoising steps in. 🔍 What’s the Problem? Document images are often noisy—especially scanned forms, degraded pages, or handwritten manuscripts. But unlike natural images, not all parts of a document should be equally denoised. Applying global filters may lead to loss of critical textual or structural information. 🧠 The RL-Based Solution This research proposes a reinforcement learning agent that selectively decides which regions of a document image need denoising and which should be preserved. The model learns a policy that balances cleaning with preservation by receiving feedback based on OCR confidence and visual metrics. It dynamically adjusts its strategy based on the region's content and noise level. ✨ Key Contributions: Novel formulation of selective denoising as a sequential decision-making problem Use of reinforcement learning to enable intelligent region-wise denoising Improvement in OCR accuracy and perceptual clarity Less computational overhead compared to full-image deep denoising models 🧪 Where It Was Published: This work was published in Sadhana Journal, and it marks a step forward in intelligent preprocessing for document analysis. 📌 This research is particularly useful for: OCR preprocessing Form understanding Historical document digitization Intelligent document image enhancement 📺 More in this series: ✅ PhD Journey at IIT Jodhpur ✅ Understanding Document Image Types ✅ Word Spotting Failures and Lessons #artificialintelligence #genai #machinelearning #nlp #datascience #icdar #ncvpripg #cvip #icvgip #ncc #Imageclassification #Objectdetection #Imagesegmentation #DeepLearningTutorial #DeepLearning #PhDJourney #IITJodhpur #DocumentImageProcessing #DeepLearning #MachineLearning #ComputerVision #OCR #AcademicLife #ResearchJourney #PhDIndia #ArtificialIntelligence #MLtoDL #GPUforDeepLearning #DocumentAnalysis #Digitization #ArtificialIntelligence #GenerativeAI #AIInnovation #DocumentIntelligence #VisualUnderstanding #ReportAnalysis #AIQuestionAnswering #MultimodalAI #DocumentAutomation #SmartReportProcessing #VisionLanguageModels #InteractiveAI #StructuredDocumentAI #AIDocumentAnalysis #InformationExtraction #ComplexLayoutParsing #TextUnderstanding #AIforReports #ocr #OpticalCharacterRecognition #InformationExtraction #VisualInformationExtraction #ImageToText #DocumentUnderstanding #TextExtraction #SemanticParsing #AITextProcessing #StructuredDataExtraction #ContextualQASystem #IntelligentDocumentProcessing #VisionNLP #LearnToCode #AIandCoding #CodeWithAI #FutureOfWork #reinforcementlearning #reinforcement #rl
