Cover Image

Image Denoising Using Transformed L1 (TL1) Regularization via ADMM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Choudhury, Nabiha, Jia, Jianqing, Lou, Yifei
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Particle Image Velocimetry Refinement via Consensus ADMM
by: Bonomi, Alan, et al.
Published: (2025)

Self-Tuning Regularization for Image Scanning Microscopy
by: Agostoni, Sofia, et al.
Published: (2026)

Fast Equivariant Imaging: Acceleration for Unsupervised Learning via Augmented Lagrangian and Auxiliary PnP Denoisers
by: Xu, Guixian, et al.
Published: (2025)

$\ell_1$DecNet+: A new architecture framework by $\ell_1$ decomposition and iteration unfolding for sparse feature segmentation
by: Ren, Yumeng, et al.
Published: (2022)

Image denoising as a conditional expectation
by: Chakroborty, Sajal, et al.
Published: (2025)

DIPA: Distilled Preconditioned Algorithms for Solving Imaging Inverse Problems
by: Gualdrón-Hurtado, Romario, et al.
Published: (2026)

Multi-task Magnetic Resonance Imaging Reconstruction using Meta-learning
by: Bian, Wanyu, et al.
Published: (2024)

Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
by: Ashtari, Pooya, et al.
Published: (2024)

Fast Gradient Methods for Data-Consistent Local Super-Resolution of Medical Images
by: Tang, Junqi, et al.
Published: (2022)

A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
by: Bian, Wanyu
Published: (2024)

Sparse Signal Reconstruction for Overdispersed Low-photon Count Biomedical Imaging Using $\ell_p$ Total Variation
by: Lu, Yu, et al.
Published: (2024)

Fuzzy Logic-Based System for Brain Tumour Detection and Classification
by: Narasimham, NVSL, et al.
Published: (2024)

Weighted structure tensor total variation for image denoising
by: Sheng, Xiuhan, et al.
Published: (2023)

GSNR: Graph Smooth Null-Space Representation for Inverse Problems
by: Gualdrón-Hurtado, Romario, et al.
Published: (2026)

Alternating Direction Method of Multipliers for Negative Binomial Model with The Weighted Difference of Anisotropic and Isotropic Total Variation
by: Lu, Yu, et al.
Published: (2024)

Stochastic Optimisation Framework using the Core Imaging Library and Synergistic Image Reconstruction Framework for PET Reconstruction
by: Papoutsellis, Evangelos, et al.
Published: (2024)

Equivariant Test-Time Training with Operator Sketching for Imaging Inverse Problems
by: Xu, Guixian, et al.
Published: (2024)

On the Strong Convexity of PnP Regularization Using Linear Denoisers
by: Sinha, Arghya, et al.
Published: (2024)

Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer
by: Fu, Guanyiman, et al.
Published: (2023)

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
by: Xu, Xingyu, et al.
Published: (2024)

Learning spatially adaptive sparsity level maps for arbitrary convolutional dictionaries
by: Schulz, Joshua, et al.
Published: (2026)

Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior
by: González, Mario, et al.
Published: (2021)

Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Inverse Problems
by: Tang, Junqi, et al.
Published: (2022)

Auto-Lesion Segmentation with a Novel Intensity Dark Channel Prior for COVID-19 Detection
by: Saleh, Basma Jumaa, et al.
Published: (2023)

Image Denoising Using Green Channel Prior
by: Kong, Zhaoming, et al.
Published: (2024)

Color Image Denoising Using The Green Channel Prior
by: Kong, Zhaoming, et al.
Published: (2024)

Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising
by: Herbreteau, Sébastien, et al.
Published: (2024)

Beyond Image Prior: Embedding Noise Prior into Conditional Denoising Transformer
by: Huang, Yuanfei, et al.
Published: (2024)

Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising
by: Chen, Wentao, et al.
Published: (2025)

Efficient Image Denoising Using Global and Local Circulant Representation
by: Kong, Zhaoming, et al.
Published: (2025)

Denoising Low-dose Images Using Deep Learning of Time Series Images
by: Shao, Yang, et al.
Published: (2024)

A General Framework for Group Sparsity in Hyperspectral Unmixing Using Endmember Bundles
by: Bhusal, Gokul, et al.
Published: (2025)

Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
by: Li, Junyi, et al.
Published: (2024)

Negative Binomial Matrix Completion
by: Lu, Yu, et al.
Published: (2024)

Denoising OCT Images Using Steered Mixture of Experts with Multi-Model Inference
by: Özkan, Aytaç, et al.
Published: (2024)

Enhanced Denoising of Optical Coherence Tomography Images Using Residual U-Net
by: Prakash, Akkidas Noel, et al.
Published: (2024)

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
by: Fu, Zixuan, et al.
Published: (2024)

Representing Noisy Image Without Denoising
by: Qi, Shuren, et al.
Published: (2023)

Edge-based Denoising Image Compression
by: Morita, Ryugo, et al.
Published: (2024)

Transfer CLIP for Generalizable Image Denoising
by: Cheng, Jun, et al.
Published: (2024)