Engineering & Signals · Interdisciplinary & Society
Image & Video Processing
The newest papers in Image & Video Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
297 papers, from 4 September 2026 to 5 November 2026: 297 arXiv preprints.
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Newest papers, page 9
HierGF: Hierarchical Gaussian Fields via Geometry-perception Message Passing for Sparse-view 3D Reconstruction
Sparse view 3D reconstruction is an important and common scenario in multimedia applications, such as augmented reality/virtual reality (AR/VR) content creation, cultural heritage digitization, and…A foundation for systematic analysis of transformers and RNNs for tractography
Machine learning (ML) has emerged as a promising approach for improving diffusion MRI (dMRI) tractography, a task that remains limited by the intrinsic tension between local diffusion information…MIRTO: a registration-gated, multiverse-tested evaluation protocol for unsupervised anomaly segmentation in brain MRI
Unsupervised anomaly detection (UAD) methods for brain MRI are ranked by a single score, yet that score rests on choices that are rarely reported: how each anomaly map is aligned with the reference…ZAGNet: Zone-Aware Graph Aggregation Network for Patient-Level Lung Ultrasound Diagnosis
Patient-level lung ultrasound (LUS) diagnosis requires integrating findings acquired across multiple anatomical zones, yet clinical examinations frequently involve variable and incomplete scanning…Event-guided Neural Video Compression
Neural video codecs derive motion and temporal contexts mainly from RGB frames, leaving room for cross-modal guidance from complementary temporal observations.Confidence-Gated Cloud-Edge Cascade Triage via Variational Risk Minimization for Medical Imaging
Emergency chest X-ray (CXR) triage has a structural modality gap: reports arrive after triage decisions, yet multimodal foundation models require image-text inputs.Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models
Medical vision-language model (VLM) evaluation is sensitive to workflow design, prompting strategy, and benchmark construction, yet most studies treat these factors in isolation.Image-Based Breast Implant Detection for Mammography Dataset Curation and Near-Real-Time Deployment: Comparing Foundation Models and Task-Specific Convolutional Models
To evaluate the performance-feasibility tradeoffs of foundation models (FMs) and task-specific convolutional neural networks (CNNs) trained from scratch for breast implant classification in 2D…ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images
Text-to-image diffusion models are personalized to a subject by DreamBooth fine-tuning on a handful of its images.ExpandDiff: Dynamic Range Expanding Diffusion for Single-Image HDR Reconstruction
Single-image HDR reconstruction requires inferring missing detail while preserving the visible content of an LDR image.Tissue Detection Determines False Positives in Diffusion-Based Histopathology Artifact Detection
One-class artifact detectors for whole-slide images learn normal tissue from a clean training pool and flag departures from it.RIQE: a NIQE-style reference model for Computed Tomography
The Natural Image Quality Evaluator (NIQE) scores an image by its statistical distance from a model fitted on pristine images, and its distributed model is fitted on photographs.Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
Histological whole-slide images (WSIs) are central to computational pathology but pose severe computational challenges due to their extremely high resolution, often spanning several gigabytes per…Spatially Gated Diffusion for Localized Counterfactual Chest Radiograph Editing
Editing a chest radiograph requires completing the requested change while preserving unrelated content.Reliability Testing of Medical Model Performance under Distributed Deployment
Distributed inference has become an indispensable part of deploying medical models under practical latency, memory, and throughput constraints.Salt++: Context-Aligned Post-Training for Few-Step Streaming Multimodal Generation
Few-step streaming audio--video generation requires both causal modeling and step distillation, yet standard training recipes face two context-related challenges.On Task Scope and Information Retention in Source Coding
We argue that dividing codec design into Coding for Machines (CfM) and Coding for Humans (CfH) is a misleading distinction for deciding what information a codec may discard.VoxelSage: Tool-Augmented 3D CT Analysis and Simulator-Shielded Sequential Resection Planning for Liver Tumors
Preoperative liver-tumor assessment requires segmentation, physical-space measurement, visual evidence, and resection planning from the same three-dimensional CT volume.Raw Imagery Impacting Your AI: Should You Care?
Onboard AI is gaining interest for space applications such as vessel, wildfire, and cloud detection, where real-time processing can improve mission reactivity and reduce downlink needs.Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models
Colorectal cancer (CRC) is the second most deadly and third most common cancer, and the leading cause of death among gastrointestinal cancers.