Self-attention negative feedback network for real-time image super-resolution

Self-attention negative feedback network for real-time image super-resolution

In the field of real-time image enhancement, image super-resolution (SR) is an important research hotspot. As an image super-resolution method, deep learning can extract more stable and higher level features. However, image super-resolution processing is an ill posed problem. Due to the lack of self...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Xiangbin Liu, Shuqi Chen, Liping Song, Marcin Woźniak, Shuai Liu
Natura:	Articolo
Lingua:	English
Pubblicazione:	Elsevier 2022-09-01
Serie:	Journal of King Saud University: Computer and Information Sciences
Soggetti:	Super-resolution Self-attention Negative feedback network SSIM PSNR
Accesso online:	http://www.sciencedirect.com/science/article/pii/S1319157821001816

Documenti analoghi

SINGLE FRAME SUPER RESOLUTION OF NONCOOPERATIVE IRIS IMAGES
di: Anand Deshpande, et al.
Pubblicazione: (2016-11-01)

Feature Extraction of 3T3 Fibroblast Microtubule Based on Discrete Wavelet Transform and Lucy–Richardson Deconvolution Methods
di: Haoxin Bai, et al.
Pubblicazione: (2022-05-01)

Edge-Enhanced with Feedback Attention Network for Image Super-Resolution
di: Chunmei Fu, et al.
Pubblicazione: (2021-03-01)

A New Approach of Image Denoising Based on Adaptive Multi-Resolution Technique
di: Lalit Mohan Satapathy, et al.
Pubblicazione: (2022-04-01)

Generating Super Spatial Resolution Products from Sentinel-2 Satellite Images
di: Mohammad Reza Zargar, et al.
Pubblicazione: (2024-03-01)

Lightweight Dual Mutual-Feedback Network for Artificial Intelligence in Medical Image Super-Resolution
di: Beibei Wang, et al.
Pubblicazione: (2022-12-01)

Performance Analysis of DCT Based Lossy Compression Method with Symmetrical Encryption Algorithms
di: Neetu Gupta, et al.
Pubblicazione: (2020-04-01)

SM-CycleGAN: crop image data enhancement method based on self-attention mechanism CycleGAN
di: Dian Liu, et al.
Pubblicazione: (2024-04-01)

Impact of H.264/AVC and H.265/HEVC Compression Standards on the Video Quality for 4K Resolution
di: Miroslav Uhrina, et al.
Pubblicazione: (2014-01-01)

A Study on the Super Resolution Combining Spatial Attention and Channel Attention
di: Dongwoo Lee, et al.
Pubblicazione: (2023-03-01)

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method
di: Habiba Sultana, et al.
Pubblicazione: (2023-03-01)

A COMPARATIVE STUDY OF DCT AND DWT IMAGE COMPRESSION TECHNIQUES COMBINED WITH HUFFMAN CODING
di: Ashraf Maghari
Pubblicazione: (2019-08-01)

Super Resolution with Kernel Estimation and Dual Attention Mechanism
di: Huan Liang, et al.
Pubblicazione: (2020-10-01)

Attention Network with Information Distillation for Super-Resolution
di: Huaijuan Zang, et al.
Pubblicazione: (2022-09-01)

Spatial and Channel Aggregation Network for Lightweight Image Super-Resolution
di: Xianyu Wu, et al.
Pubblicazione: (2023-10-01)

Deployment and Measurement of Quality of Service Parameters for Triple Play Services in Optical Access Networks
di: Jan Latal, et al.
Pubblicazione: (2017-09-01)

Network Degradation Effects on Different Codec Types and Characteristics of Video Streaming
di: Jaroslav Frnda, et al.
Pubblicazione: (2014-01-01)

Impact of Constant Rate Factor on Objective Video Quality Assessment
di: Juraj Bienik, et al.
Pubblicazione: (2017-01-01)

A Binary Pattern Based Secure Data Hiding in Digital Images
di: Mareena Karim, et al.
Pubblicazione: (2022-09-01)

THE UTILIZATION OF EEG SIGNAL IN VIDEO COMPRESSION
di: Qasem Qananwah, et al.
Pubblicazione: (2019-12-01)

Multi-attention fusion transformer for single-image super-resolution
di: Guanxing Li, et al.
Pubblicazione: (2024-05-01)

CA-ESRGAN: Super-Resolution Image Synthesis Using Channel Attention-Based ESRGAN
di: Jingan Liu, et al.
Pubblicazione: (2024-01-01)

S2A: Scale-Attention-Aware Networks for Video Super-Resolution
di: Taian Guo, et al.
Pubblicazione: (2021-10-01)

ConvSRGAN: super-resolution inpainting of traditional Chinese paintings
di: Qiyao Hu, et al.
Pubblicazione: (2024-05-01)

Triple-Attention Mixed-Link Network for Single-Image Super-Resolution
di: Xi Cheng, et al.
Pubblicazione: (2019-07-01)

Light field super-resolution using complementary-view feature attention
di: Wei Zhang, et al.
Pubblicazione: (2023-07-01)

Image Super-Resolution With Unified-Window Attention
di: Gunhee Cho, et al.
Pubblicazione: (2024-01-01)

Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery
di: Zhenjie Tang, et al.
Pubblicazione: (2022-04-01)

A Local and Non-Local Features Based Feedback Network on Super-Resolution
di: Yuhao Liu, et al.
Pubblicazione: (2022-12-01)

CANS: Combined Attention Network for Single Image Super-Resolution
di: Wazir Muhammad, et al.
Pubblicazione: (2024-01-01)

Underwater Image Super-Resolution Using Frequency-Domain Enhanced Attention Network
di: Xin Liu, et al.
Pubblicazione: (2024-01-01)

A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
di: Yonggui Zhu, et al.
Pubblicazione: (2023-10-01)

A Reversible Steganography Method With Statistical Features Maintained Based on the Difference Value
di: Tengfei Li, et al.
Pubblicazione: (2020-01-01)

From Local to Global: Efficient Dual Attention Mechanism for Single Image Super-Resolution
di: Pei Zhang, et al.
Pubblicazione: (2021-01-01)

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution
di: Chi-En Huang, et al.
Pubblicazione: (2021-11-01)

SRAS‐net: Low‐resolution chromosome image classification based on deep learning
di: Xiangbin Liu, et al.
Pubblicazione: (2022-05-01)

Learning Enriched Features for Image Super Resolution
di: Weiqin Huang, et al.
Pubblicazione: (2022-01-01)

Improving the brain image resolution of generalized q-sampling MRI revealed by a three-dimensional CNN-based method
di: Chun-Yuan Shin, et al.
Pubblicazione: (2023-02-01)

Remote Sensing Single-Image Super-Resolution Using Convolutional Block Attention Residual Network With Joint Adversarial Mechanisms
di: Allen Patnaik, et al.
Pubblicazione: (2024-01-01)

Fusion Objective Function on Progressive Super-Resolution Network
di: Amir Hajian, et al.
Pubblicazione: (2023-03-01)