4.6 Article

MLFAN: Multilevel Feature Attention Network With Texture Prior for Image Denoising

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Multi-stage image denoising with the wavelet transform

Chunwei Tian et al.

Summary: This paper proposes a multi-stage image denoising CNN with wavelet transform, using dynamic convolution, wavelet transform and enhancement, and residual block to improve denoising performance. Experimental results show that the proposed method outperforms popular denoising methods.

PATTERN RECOGNITION (2023)

Article Engineering, Electrical & Electronic

Multistage supervised contrastive learning for hybrid-degraded image restoration

Bo Fu et al.

Summary: This paper proposes a multistage network architecture that gradually learns and restores the hybrid degradation model of natural images. By introducing contrastive learning and a double-pooling channel attention block, the image quality and texture details are improved.

SIGNAL IMAGE AND VIDEO PROCESSING (2023)

Article Computer Science, Artificial Intelligence

A robust deformed convolutional neural network (CNN) for image denoising

Qi Zhang et al.

Summary: In this paper, a robust deformed denoising CNN (RDDCNN) is proposed to address the training difficulty and long-term dependency problem in image denoising. The RDDCNN utilizes the relations of surrounding pixels and an enhanced block to extract more representative noise features and enhance the learning ability of the network.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2023)

Article Computer Science, Information Systems

A Multi-Scale Feature Extraction-Based Normalized Attention Neural Network for Image Denoising

Yi Wang et al.

Summary: The paper introduces a novel image denoising method based on multi-scale feature extraction and normalized attention neural network, achieving better performance in terms of PSNR and SSIM compared to other methods.

ELECTRONICS (2021)

Article Computer Science, Artificial Intelligence

Designing and training of a dual CNN for image denoising

Chunwei Tian et al.

Summary: This paper proposes a Dual denoising Network (DudeNet) with a sparse mechanism that extracts global and local features to recover fine details for complex noisy images. The DudeNet shows superiority over existing state-of-the-art denoising methods.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Multilevel Edge Features Guided Network for Image Denoising

Faming Fang et al.

Summary: This study proposes a new framework for image denoising, integrating edge detection, edge guidance, and image denoising into an end-to-end CNN model through a multilevel edge features guided network. Experimental results show that this method achieves good accuracy and robustness for natural images.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Information Systems

DRNet: A Deep Neural Network With Multi-Layer Residual Blocks Improves Image Denoising

Jiahong Zhang et al.

Summary: The study introduced a new type of residual block called DC-ResBlock for image denoising, and the experiment results indicate it performs the best.

IEEE ACCESS (2021)

Article Computer Science, Artificial Intelligence

Image denoising using deep CNN with batch renormalization

Chunwei Tian et al.

NEURAL NETWORKS (2020)

Article Engineering, Electrical & Electronic

Multifeature extracting CNN with concatenation for image denoising

Yongcun Guo et al.

SIGNAL PROCESSING-IMAGE COMMUNICATION (2020)

Article Computer Science, Artificial Intelligence

Attention-guided CNN for image denoising

Chunwei Tian et al.

NEURAL NETWORKS (2020)

Review Computer Science, Artificial Intelligence

Deep learning on image denoising: An overview

Chunwei Tian et al.

NEURAL NETWORKS (2020)

Article Engineering, Electrical & Electronic

CANet: Concatenated Attention Neural Network for Image Restoration

YingJie Tian et al.

IEEE SIGNAL PROCESSING LETTERS (2020)

Article Computer Science, Information Systems

Gradient Prior-Aided CNN Denoiser With Separable Convolution-Based Optimization of Feature Dimension

Sung In Cho et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2019)

Article Computer Science, Artificial Intelligence

Enhanced CNN for image denoising

Chunwei Tian et al.

CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY (2019)

Article Computer Science, Artificial Intelligence

FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising

Kai Zhang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)

Article Computer Science, Artificial Intelligence

Waterloo Exploration Database: New Challenges for Image Quality Assessment Models

Kede Ma et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Article Computer Science, Artificial Intelligence

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Kai Zhang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)

Article Computer Science, Artificial Intelligence

Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Yunjin Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Automation & Control Systems

From Heuristic Optimization to Dictionary Learning: A Review and Comprehensive Comparison of Image Denoising Algorithms

Ling Shao et al.

IEEE TRANSACTIONS ON CYBERNETICS (2014)

Article Computer Science, Artificial Intelligence

Nonlocally Centralized Sparse Representation for Image Restoration

Weisheng Dong et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2013)

Article Computer Science, Artificial Intelligence

Image denoising by sparse 3-D transform-domain collaborative filtering

Kostadin Dabov et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2007)

Review Mathematics, Interdisciplinary Applications

A review of image denoising algorithms, with a new one

A Buades et al.

MULTISCALE MODELING & SIMULATION (2005)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)

Article Computer Science, Artificial Intelligence

The curvelet transform for image denoising

JL Starck et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2002)