Image de couverture de livre

Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hong, Seongmin, Bae, Jaehyeok, Lee, Jongho, Chun, Se Young
Format:	Preprint
Publié:	2024
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Efficient and robust 3D blind harmonization for large domain gaps
par: Jeong, Hwihun, et autres
Publié: (2025)

Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
par: Shin, Heejun, et autres
Publié: (2023)

Sampling Innovation-Based Adaptive Compressive Sensing
par: Tian, Zhifu, et autres
Publié: (2025)

Training-free Mixed-Resolution Latent Upsampling for Spatially Accelerated Diffusion Transformers
par: Jeong, Wongi, et autres
Publié: (2025)

Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
par: Park, Juhyung, et autres
Publié: (2022)

Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models
par: Jeong, Wongi, et autres
Publié: (2026)

Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
par: Elata, Noam, et autres
Publié: (2024)

Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction
par: Yim, Jae-Young, et autres
Publié: (2024)

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
par: Cui, Wenxue, et autres
Publié: (2024)

WTDUN: Wavelet Tree-Structured Sampling and Deep Unfolding Network for Image Compressed Sensing
par: Han, Kai, et autres
Publié: (2024)

FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction
par: Zhang, Zheng, et autres
Publié: (2026)

Practical Compact Deep Compressed Sensing
par: Chen, Bin, et autres
Publié: (2024)

High Quality Underwater Image Compression with Adaptive Color Correction
par: Zhou, Yimin, et autres
Publié: (2025)

PSC: Posterior Sampling-Based Compression
par: Elata, Noam, et autres
Publié: (2024)

Image Quality Assessment With Compressed Sampling
par: Liao, Ronghua, et autres
Publié: (2024)

ST-DAI: Single-shot 2.5D Spatial Transcriptomics with Intra-Sample Domain Adaptive Imputation for Cost-efficient 3D Reconstruction
par: Qian, Jiahe, et autres
Publié: (2025)

Generalized Compressed Sensing for Image Reconstruction with Diffusion Probabilistic Models
par: Zhang, Ling-Qi, et autres
Publié: (2024)

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
par: Song, Jiechong, et autres
Publié: (2023)

AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution
par: Hong, Cheeun, et autres
Publié: (2024)

Unicorn: Unified Neural Image Compression with One Number Reconstruction
par: Zheng, Qi, et autres
Publié: (2024)

Mixed-granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction
par: Li, Jianan, et autres
Publié: (2025)

Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
par: Kunz, Johannes F., et autres
Publié: (2023)

ADIR: Adaptive Diffusion for Image Reconstruction
par: Abu-Hussein, Shady, et autres
Publié: (2022)

WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
par: Hwang, Seongmin, et autres
Publié: (2024)

CALLIC: Content Adaptive Learning for Lossless Image Compression
par: Li, Daxin, et autres
Publié: (2024)

Region-Adaptive Transform with Segmentation Prior for Image Compression
par: Liu, Yuxi, et autres
Publié: (2024)

Study of the gOMP Algorithm for Recovery of Compressed Sensed Hyperspectral Images
par: Justo, Jon Alvarez, et autres
Publié: (2024)

A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
par: Jatyani, Armeet Singh, et autres
Publié: (2024)

Image Enhancement Based on Pigment Representation
par: Lee, Se-Ho, et autres
Publié: (2025)

MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction
par: Deng, Yu, et autres
Publié: (2024)

Adaptive Rectangular Convolution for Remote Sensing Pansharpening
par: Wang, Xueyang, et autres
Publié: (2025)

Task-Adaptive Low-Dose CT Reconstruction
par: Sefercioglu, Necati, et autres
Publié: (2025)

Exploring Distortion Prior with Latent Diffusion Models for Remote Sensing Image Compression
par: Li, Junhui, et autres
Publié: (2024)

MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
par: Hojjat, Ali, et autres
Publié: (2024)

Adaptive Fused Prior Transfer for Controllable Generative Image Compression
par: Pei, Yifei, et autres
Publié: (2026)

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds
par: Mao, Xiaolong, et autres
Publié: (2024)

Compressive Feature Selection for Remote Visual Multi-Task Inference
par: Alvar, Saeed Ranjbar, et autres
Publié: (2024)

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding
par: Jin, Zhenyu, et autres
Publié: (2025)

Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
par: Penninga, Simon W., et autres
Publié: (2025)

Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network
par: Li, Junhui, et autres
Publié: (2024)