Cover Image

Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dong, Yubo, Gao, Dahua, Li, Yuyan, Shi, Guangming, Liu, Danhua
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LANCE: Locally Adaptive Neural Context Estimation for Overfitted Image Compression
by: Benjak, Martin, et al.
Published: (2026)

NOC4SC: A Bandwidth-Efficient Multi-User Semantic Communication Framework for Interference-Resilient Transmission
by: Wang, Yunhao, et al.
Published: (2025)

ECVC: Exploiting Non-Local Correlations in Multiple Frames for Contextual Video Compression
by: Jiang, Wei, et al.
Published: (2024)

LRC-DHVC: Towards Local Rate Control in Neural Video Compression
by: Windsheimer, Marc, et al.
Published: (2026)

On Efficient Neural Network Architectures for Image Compression
by: Zhang, Yichi, et al.
Published: (2024)

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection
by: Wang, Ziyi, et al.
Published: (2024)

Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression
by: Cao, Zhi, et al.
Published: (2024)

Universal End-to-End Neural Network for Lossy Image Compression
by: Arezki, Bouzid, et al.
Published: (2024)

Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
by: Cui, Wenxue, et al.
Published: (2024)

A Lightweight Model for Perceptual Image Compression via Implicit Priors
by: Wei, Hao, et al.
Published: (2025)

Broadband Near-Infrared Compressive Spectral Imaging System with Reflective Structure
by: Li, Yutong, et al.
Published: (2025)

Bounding Global and Local Compression Error of Signal Parameterizations
by: Nguyen, Quang Luong Nhat, et al.
Published: (2026)

Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging
by: Erbas, Ismail, et al.
Published: (2024)

Local Patch Network with Global Attention for Infrared Small Target Detection
by: Chen, Fang, et al.
Published: (2021)

Neuromorphic Imaging Flow Cytometry combined with Adaptive Recurrent Spiking Neural Networks
by: Moustakas, Georgios, et al.
Published: (2025)

Optimally Bridging Semantics and Data: Generative Semantic Communication via Schrödinger Bridge
by: Gao, Dahua, et al.
Published: (2026)

Soft then Hard: Rethinking the Quantization in Neural Image Compression
by: Guo, Zongyu, et al.
Published: (2021)

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging
by: Wu, Zongliang, et al.
Published: (2023)

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution
by: Kui, Xiaoyan, et al.
Published: (2025)

Approximately Invertible Neural Network for Learned Image Compression
by: Gao, Yanbo, et al.
Published: (2024)

O-PRESS: Boosting OCT axial resolution with Prior guidance, Recurrence, and Equivariant Self-Supervision
by: Li, Kaiyan, et al.
Published: (2024)

3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
by: Beemelmanns, Till, et al.
Published: (2024)

WeGA: Weakly-Supervised Global-Local Affinity Learning Framework for Lymph Node Metastasis Prediction in Rectal Cancer
by: Gao, Yifan, et al.
Published: (2025)

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
by: Liang, Shijun, et al.
Published: (2022)

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging
by: Dong, Jiahua, et al.
Published: (2024)

Multispectral Snapshot Image Registration Using Learned Cross Spectral Disparity Estimation and a Deep Guided Occlusion Reconstruction Network
by: Sippel, Frank, et al.
Published: (2024)

Analysis of Neural Video Compression Networks for 360-Degree Video Coding
by: Regensky, Andy, et al.
Published: (2024)

Enhancing Fourier Neural Operators with Local Spatial Features
by: Liu, Chaoyu, et al.
Published: (2025)

LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping
by: Liu, Yuanyuan, et al.
Published: (2024)

Transformer-Based Local Feature Matching for Multimodal Image Registration
by: Delaunay, Remi, et al.
Published: (2024)

Physics-Informed Implicit Neural Representations for Joint B0 Estimation and Echo Planar Imaging
by: Huang, Wenqi, et al.
Published: (2025)

A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
by: Yang, Zhixiong, et al.
Published: (2024)

Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate-Distortion Awareness
by: Cong, Wuyang, et al.
Published: (2026)

HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
by: Li, Hantang, et al.
Published: (2025)

TVRN: Invertible Neural Networks for Compression-Aware Temporal Video Rescaling
by: Feng, Xinmin, et al.
Published: (2026)

Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression
by: Ghorbel, Ahmed, et al.
Published: (2023)

Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images
by: Ding, Ruiwen, et al.
Published: (2024)

Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
by: Janjušević, Nikola, et al.
Published: (2025)

MLICv2: Enhanced Multi-Reference Entropy Modeling for Learned Image Compression
by: Jiang, Wei, et al.
Published: (2025)

Generative Adversarial Networks for Spatio-Spectral Compression of Hyperspectral Images
by: Fuchs, Martin Hermann Paul, et al.
Published: (2023)