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 11
ANaLOG: Anisotropic Native-Latent Operator Guidance for Solving Inverse Problems
Native-latent guidance is a recent paradigm for solving inverse problems with latent diffusion models.Improving Audiovisual Speech Recognition through Synthetic Visual Data Augmentation
Audiovisual Speech Recognition (AVSR) is a multimodal approach to speech recognition that incorporates visual information from lip movements to enhance model performance.Does Vision-Language Pretraining Granularity Matter? A Controlled Evaluation of Vision-Language Objectives Across Chest X-Ray Interpretation Tasks
Vision-language pretraining objectives differ in the spatial granularity of their supervision, yet the implications of this distribution for chest X-ray interpretation remain underexplored.Learned Compression of SAR Phase-History Data: A Rate-Honest Feasibility Study on GOTCHA
On-board compression of synthetic aperture radar (SAR) phase history is bandwidth-critical, and block-adaptive quantization (BAQ) remains the operational standard.Efficient Continuous DEM Reconstruction under Limited Target-Resolution Supervision
High-resolution digital elevation models (DEMs) support Earth observation applications, but paired training references are often available only at coarser output resolutions.Beyond MSE: Rician Likelihood Denoising for Self-Supervised Cardiac $T2$ and $T1ρ$ MRI
Magnetic resonance imaging involves an inherent trade-off among spatial resolution, acquisition time, and noise.SatUnreal: A High-Precision Synthetic Dataset for Satellite Stereo Matching via Unreal Engine
3D reconstruction from satellite imagery is essential for large-scale topographic analysis, yet the lack of high-fidelity training datasets with accurate occlusion labels remains a primary bottleneck.Recursive Uncertainty-Gated Image Registration for Learning-based Algorithms
Conventional image registration algorithms are robust to domain shifts and achieve low errors, but they are slow and computationally expensive.A comparative assessment of global building and settlement datasets across geographic and settlement contexts
Global building and settlement datasets increasingly support population mapping, exposure assessment, urban monitoring, and other analyses of the built environment, yet comparative evidence remains…Geospatial embeddings detect old-growth forests but buffered spatial validation narrows their advantage over Sentinel features
Old-growth forests develop over centuries under minimal anthropogenic disturbance, producing structurally complex and biodiverse stands.Predicting the Progression of Adolescent Idiopathic Scoliosis
Adolescent Idiopathic Scoliosis is defined as a lateral curvature of the spine that develops during adolescence, without known cause.Integrating Local Detail and Global Context: A Dual-Input Multi-Task Learning Framework for Bone Tumor Diagnosis
Primary bone tumors are rare but clinically aggressive neoplasms whose diagnosis from radiographs is challenged by heterogeneous morphology, subtle lesion margins, and overlapping bone structures.Physics-Guided Multi-Objective Deep Learning for Ultrasound RF Data Interpolation in Resource-Constrained Imaging
Ultrasound imaging increasingly targets portable, point-of-care, and wearable settings where constraints on power, bandwidth, and hardware complexity often necessitate sparse data acquisition in…Observer Choice and Threshold Selection in Retinal Vessel Segmentation: A Subject-Separated Evaluation
The annotation used to select a segmentation threshold is part of the evaluation protocol, yet its effect is easily conflated with model quality.Robust, Estimator-Agnostic Dynamic 3DGS Compression
Dynamic 3D Gaussian splats (3DGS) model time-varying scenes using a separate Gaussian set per frame.Initialization and Stopping Tolerance in CPU Dermoscopic Segmentation
Contour initialization and numerical stopping can jointly affect the evaluation of active-contour segmentation.Faithful Faithfulness Evaluations: Challenges & Pitfalls Learned from a Breast MRI Case Study
Saliency maps are widely used to explain deep learning predictions in medical imaging, yet visually plausible explanations do not necessarily reflect a model's true decision process and may…Mammo-LIFE: Longitudinal Mammographic Imaging and Clinical Feature Enrichment for Post-Radiotherapy Outcome Prediction
Recent advances in Artificial Intelligence (AI)-powered Computer-Aided Diagnosis (CAD) systems have substantially improved breast cancer screening, diagnosis, and prognosis.PP-Net: A Hybrid Physical-Prior Neural Network for Scattered Light Removal in Biomedical Images on Embedded Devices
Scattered light is common in biomedical images, yet its removal remains challenging.Laryngeal Structure Segmentation in High-Speed Videoendoscopy Using Deep Learning
Laryngeal high-speed videoendoscopy (HSV) offers an effective means of observing the motion of different laryngeal structures along with vibratory behaviors of the vocal folds under various voicing…