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 6
Implicit Neural Models for Direct Multi-Shell Diffusion MRI Signal Estimation
Diffusion magnetic resonance imaging is a noninvasive technique that is sensitive to the motion of water molecules in human tissue.Benchmarking and Improvement of Artifact Segmentation Methods in H&E-Stained Whole Slide Imaging
Technical artifacts introduced during tissue preparation or slide scanning remain a major obstacle to developing robust computational pathology algorithms for hematoxylin and eosin (HE)-stained…GliomaINK: A Tumor and Anatomy Conditioned Flow Matching Framework for 3D MRI Sequence Synthesis in Glioma Patients
Incomplete multiparametric MR examinations limit glioma characterization and downstream AI tools.LUMINR: Intensity-conditioned Meta-learned INRs for Accelerated Medical Image Registration
Implicit neural representations (INRs) have been applied to deformable image registration, where a lightweight network maps a spatial coordinate to a deformation vector.Monotone Piecewise-Linear Harmonization of Multitemporal Multispectral Surface Reflectance With Unsupervised Deep Multiview Pseudoinvariant Features Learning
Surface reflectance products derived from optical satellite may exhibit systematic inconsistencies across acquisition dates, because atmospheric correction is generally performed independently for…Denoising Textures is a Different Ballgame Altogether!
The human brain effortlessly deciphers colors and textures from visual stimuli and reconstructs the world around us, yet preserving such details remains challenging in image denoising.Really Need Recursion? Revisiting One-pass Registration with Multi-level Multi-space Contextual Guidance
Deformable image registration is a fundamental challenge in medical image analysis.A Unified Theory of Image Scaling: Point Spread Functions, Discrete Kernels, and Scale-Spaces
We derive the optically aligned system of image-scaling operators $\mathbf{K}_s$ that reproduces optical zoom (exact zoom-out, canonical zoom-in), by identifying a Huygens-like consistency principle…LGGS: Longitudinal MRI Reconstruction via Guided Group Sparsity
Serial MRI is routinely performed in current clinical practice for disease surveillance and applications such as MR-guided radiotherapy.An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography
The TopAneu 2026 challenge requires intracranial aneurysms to be segmented at the voxel level and assigned to one of more than fifty vessel-specific classes, on CT and MR angiography alike.A$^3$PreCore: Robust Rigid Registration for Native FLAIR-Space Brain-Mask Transfer
Reliable brain-mask transfer into native fluid-attenuated inversion recovery (FLAIR) space can fail when T1-to-FLAIR rigid registration is unstable.Deep Learning for Forest Plantation Mapping in Godavari Districts of Andhra Pradesh, India
Small-area forest plantations play a vital role in the socioeconomic well-being of farmers in Southeast Asia.Background2Background: a self-supervised background removal framework for high dimensional microscopy
High-dimensional microscopy captures features across space, time, and spectrum, but complex backgrounds obscure signals.Deficit-Driven Stratified Acquisition for Building STRATA-S12: An Open SAR-Optical Corpus for Self-Supervised Learning
Building a co-registered SAR-optical corpus for self-supervised Earth Observation is above all an acquisition problem, yet the main multi-modal datasets are collected opportunistically, with no…Augmenting Real-time Visualization in Minimally Invasive Surgery with Particle Filtering and Depth-Aware Occlusion Handling
We present a real-time, hybrid framework for occlusion handling and depth-aware tracking in minimally invasive surgeries (MIS).Simplifying and Improving On-Policy Distillation for Few-Step Diffusion
Few-step distillation reduces the sampling cost of diffusion and flow models, but existing approaches often require auxiliary score models or specialized architectures.Personalising Deformable Image Registration with Clinical Context and Deformation History for Adaptive Radiotherapy
Adaptive radiotherapy must account for anatomical changes during treatment, but doing so depends on reliably mapping targets, organs at risk and dose across serial images.Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations
Dense cardiac dynamics are essential for assessing cardiac function, yet in practice clinicians often observe only extremely sparse measurements.DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting
Free-breathing abdominal MRI is limited by respiratory motion, which introduces image artifacts and k-space inconsistencies.Deep Learning for Atmospheric Turbulence Mitigation: A Comparison Between GANs and Transformers
Atmospheric turbulence creates complex spatial and temporal distortions that significantly reduce image quality.