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 3
FlowFPR: Flow Matching Prior for Oversampled Fourier Phase Retrieval
Fourier phase retrieval reconstructs images from magnitude measurements without phase information, but noise and channel ambiguities make natural color-image recovery challenging.A Rate-Distortion Optimized Skip Mode Coding Framework for Neural Video Compression in AVS
With the development of deep learning, neural video compression (NVC) is gaining increasing interest and is currently under standardization in the AVS (Audio Video Coding Standard).Does Vendor Image Processing Matter? Learning Echocardiography Display Appearance from Native Beamspace Data
Most echocardiography datasets contain vendor-processed images, but processing is often undocumented and may affect model performance and robustness.VC-1K: A Diverse Video Test Set for Real-Time Communication
We introduce Video Conferencing 1000 (VC-1K), an open-source test set comprising approximately 1,000 video sequences specifically designed for evaluating video processing and encoding pipelines in…Directional Dual-Head Supervision for Real-Time Source-Free Polyp Segmentation
Source-free domain adaptation (SFDA) is critical for medical image segmentation as it adapts a model to an unlabeled target domain without accessing source data, thereby preserving data privacy.Blind Video Denoising for Vocal Tract rtMRI using a Self-Supervised Ensemble
Real-time magnetic resonance imaging of the vocal tract makes speech articulation directly observable, but the trade-off between temporal resolution and signal quality introduces substantial noise…Inter-Frame Predictive Contour Coding for Semantic Map Compression
Dynamic semantic maps have become an important intermediate representation for many computer vision applications.Toward Contrast-Free Breast MRI: Improving Cancer Detection With Virtual Contrast Enhanced Imaging
Although contrast-enhanced (CE) breast MRI is an important tool for cancer detection, intravenous gadolinium administration introduces additional considerations for patients and clinical workflows.What Does LOL Measure? Hidden Label Shifts in Low-Light Enhancement Benchmarks
LOL-v1 and LOLv2-Real are the standard benchmarks for supervised low-light image enhancement, and several leading methods ship hand-set test-time adjustments with their evaluation scripts.The Power Watershed as a Differentiable Segmentation Layer
Can a Watershed transform, the classical tool of morphological segmentation, be placed at the end of a deep network and trained through?From the Superderivative to a Relative-Gradient Edge Operator
First-derivative edge detectors such as Sobel, Prewitt, Roberts and Scharr measure absolute grey-level differences.Enhanced image forensics through partial C2PA-based provenance information
Cryptographically verifiable C2PA-based Content Credentials (CCs) can be attached to freshly acquired or generated digital images but also to already existing ones with no previous provenance…AlbumVSR: Identity-Preserving Face Video Super-Resolution from a Personal Photo Album
Severe blur, downsampling, noise, and compression can erase the identity cues needed to faithfully restore a person's face.CalibCause: A Quality-Gated, Interpretable and Calibrated Deep Learning Framework for Diabetic Retinopathy Grading
Most deep learning systems for diabetic retinopathy (DR) grading are evaluated on a single data source, with limited evidence of cross-site generalisation, uncertainty calibration, and…Image Modeling: From Handcrafted Priors to Foundation Image Models
This paper unifies six decades of image modeling, evolving from handcrafted mathematical tractable priors to solve inverse problems in imaging to data-driven deep foundation image models for both…Quantized Edge Inference of a Self-Supervised SAR-Optical Encoder on Commodity x86 Hardware
Self-supervised vision transformers are increasingly used as reusable encoders for Earth observation, but their inference cost on the hardware available in the field is rarely characterized.EUReCA: End-to-End Unified CBCT Reconstruction Across Clinical Acquisitions
Cone-beam computed tomography (CBCT) is widely used for image-guided radiotherapy, but reducing the number of projections to lower dose and scan time makes reconstruction increasingly ill-posed.Effects of Deep Learning Architecture and Pretraining on Automated Vocal Fold Segmentation in Ex Vivo High-Speed Phonation Images
Two-dimensional (2D) intraglottal particle image velocimetry (PIV) of ex vivo phonation experiments quantifies vocal fold medial surface dynamics and the intraglottal flow field.Accuracy and efficiency of compact foundation models for surface-water mapping during floods
Pretrained Earth observation models may reduce the effort needed to map surface water, but their value depends on the alternative against which they are compared.MedVTok: A General-Purpose Medical Visual Tokenizer
Multimodal medical AI requires a common visual interface for encoding heterogeneous imaging evidence for patient condition modeling.