Copertina

Simulation of a Vision Correction Display System

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sunil, Vidya, Rameshan, Renu M
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Real-Time Computational Visual Aberration Correcting Display Through High-Contrast Inverse Blurring
di: Balaji, Akhilesh, et al.
Pubblicazione: (2024)

Aberration Correcting Vision Transformers for High-Fidelity Metalens Imaging
di: Lee, Byeonghyeon, et al.
Pubblicazione: (2024)

Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust
di: Kasodekar, Kunal Sunil
Pubblicazione: (2024)

Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges
di: Jakab, Daniel, et al.
Pubblicazione: (2024)

Learned HDR Image Compression for Perceptually Optimal Storage and Display
di: Cao, Peibei, et al.
Pubblicazione: (2024)

Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration
di: Xue, Jingyun, et al.
Pubblicazione: (2024)

Eye-Tracking as a Tool to Quantify the Effects of CAD Display on Radiologists' Interpretation of Chest Radiographs
di: Matsumoto, Daisuke, et al.
Pubblicazione: (2025)

Adapting Pretrained Networks for Image Quality Assessment on High Dynamic Range Displays
di: Chubarau, Andrei, et al.
Pubblicazione: (2024)

Utilisation of Vision Systems and Digital Twin for Maintaining Cleanliness in Public Spaces
di: Wasala, Mateusz, et al.
Pubblicazione: (2024)

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model
di: Cha, Junghun, et al.
Pubblicazione: (2024)

Markerless Tracking-Based Registration for Medical Image Motion Correction
di: Neubig, Luisa, et al.
Pubblicazione: (2025)

VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence
di: Qiu, Jianing, et al.
Pubblicazione: (2023)

Luminance Component Analysis for Exposure Correction
di: Peng, Jingchao, et al.
Pubblicazione: (2024)

Learned Single-Pass Multitasking Perceptual Graphics for Immersive Displays
di: Yılmaz, Doğa, et al.
Pubblicazione: (2024)

Susceptibility Distortion Correction of Diffusion MRI with a single Phase-Encoding Direction
di: Dargahi, Sedigheh, et al.
Pubblicazione: (2025)

Minimalist Vision with Freeform Pixels
di: Klotz, Jeremy, et al.
Pubblicazione: (2024)

A Learnable Color Correction Matrix for RAW Reconstruction
di: Liu, Anqi, et al.
Pubblicazione: (2024)

MAMOC: MRI Motion Correction via Masked Autoencoding
di: Van der Goten, Lennart Alexander, et al.
Pubblicazione: (2024)

Deep Learning Aided Vision System for Planetary Rovers
di: Relia, Lomash, et al.
Pubblicazione: (2026)

Vision Foundation Models for Computed Tomography
di: Pai, Suraj, et al.
Pubblicazione: (2025)

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
di: Afshin, Pouya, et al.
Pubblicazione: (2025)

Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
di: Tseng, Ethan, et al.
Pubblicazione: (2021)

Real-World Atmospheric Turbulence Correction via Domain Adaptation
di: Wang, Xijun, et al.
Pubblicazione: (2024)

Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging
di: Garcia-Vega, Axel, et al.
Pubblicazione: (2022)

REFLECT: Rectified Flows for Efficient Brain Anomaly Correction Transport
di: Beizaee, Farzad, et al.
Pubblicazione: (2025)

High Quality Underwater Image Compression with Adaptive Color Correction
di: Zhou, Yimin, et al.
Pubblicazione: (2025)

Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
di: Mazumder, Anirudh, et al.
Pubblicazione: (2024)

Self-Validated Learning for Particle Separation: A Correctness-Based Self-Training Framework Without Human Labels
di: Lösel, Philipp D., et al.
Pubblicazione: (2025)

Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
di: Malekmohammadi, Amin, et al.
Pubblicazione: (2024)

Moner: Motion Correction in Undersampled Radial MRI with Unsupervised Neural Representation
di: Wu, Qing, et al.
Pubblicazione: (2024)

A Unified Deep Learning Framework for Motion Correction in Medical Imaging
di: Wang, Jian, et al.
Pubblicazione: (2024)

MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
di: Zhang, Andrew, et al.
Pubblicazione: (2025)

Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
di: Baluyot, Bastien C., et al.
Pubblicazione: (2025)

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction
di: Liang, Dong, et al.
Pubblicazione: (2025)

Generalizable CT-Free PET Attenuation and Scatter Correction for Pediatric Patients
di: Wu, Jia-Mian, et al.
Pubblicazione: (2026)

ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators
di: Ibadulla, Riad, et al.
Pubblicazione: (2025)

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging
di: Zhang, Chaojie, et al.
Pubblicazione: (2024)

SDCM: Simulated Densifying and Compensatory Modeling Fusion for Radar-Vision 3-D Object Detection in Internet of Vehicles
di: Li, Shucong, et al.
Pubblicazione: (2026)

Hibou: A Family of Foundational Vision Transformers for Pathology
di: Nechaev, Dmitry, et al.
Pubblicazione: (2024)

Deep unfolding Network for Hyperspectral Image Super-Resolution with Automatic Exposure Correction
di: Fang, Yuan, et al.
Pubblicazione: (2024)