Results 101 to 110 of about 24,230 (259)

SSIM-Based Autoencoder Modeling to Defeat Adversarial Patch Attacks

Sensors
Object detection systems are used in various fields such as autonomous vehicles and facial recognition. In particular, object detection using deep learning networks enables real-time processing in low-performance edge devices and can maintain high ...
Seungyeol Lee, Seongwoo Hong, Gwangyeol Kim, Jaecheol Ha   +3 more
doaj   +1 more source

Nonlocal Leaky Mode Metasurfaces for Mode‐, Angle‐, and Polarization‐Multiplexed Holography With Thermal Light

Laser &Photonics Reviews, EarlyView.
Nonlocal leaky mode metasurfaces reconstruct multiplexed holograms directly from unfiltered thermal light. High‐Q leaky guided modes compress broadband halogen emission into narrowband channels, enhancing temporal coherence a hundredfold, while a single nanohole array encodes independent images addressed by mode, angle, and polarization, establishing ...
Rajat Kumar Sinha, Mo Mojahedi
wiley   +1 more source

An Inline‐Integrable Image Restoration Model With ROI Fine‐Tuning and Slice‐to‐Volume Reconstruction for Accelerated Whole‐Brain Vessel Wall Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a vessel wall imaging (VWI)‐dedicated image restoration model enabling high‐resolution whole‐brain VWI in under 6 min. Methods A transformer‐based 2.5D model was trained in a supervised manner to enhance the image quality of CAIPIRINHA 2 × 2‐accelerated VWI acquisitions to a level comparable to that of GRAPPA twofold ...
Pengcheng Wang, Jingxiang Zhang, Jiayu Xiao, Junzhou Chen, Zhenjia Wang, Jin Li, Qingle Kong, Steven Y. Cen, Sophia X. Cui, Yifei Zhang, Wei Yu, Qi Yang, Nasim Sheikh‐Bahaei, William J. Mack, Zhaoyang Fan   +14 more
wiley   +1 more source

Multi-scale structural similarity index for motion detection

Journal of King Saud University: Computer and Information Sciences, 2017
The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos.
M. Abdel-Salam Nasr, Mohammed F. AlRahmawy, A.S. Tolba   +2 more
doaj   +1 more source

Constructing Ghost Free High Dynamic Range Images Using Convolutional Neural Network And Structural Similarity Index

JISR on Computing, 2017
A foreign object, commonly called as a ghost artifact, is integrated in the HDR output image when there is a moving object in the photography scene. The problem is persisting even after numerous models proposed by researchers.
Shahid Khan, Husnain Mansoor Ali
doaj   +1 more source

PSNR and SSIM values for various noise densities for different algorithms.

, 2014
(a) and (b): the PSNR and SSIM for Lena image; (c) and (d): the PSNR and SSIM for Pepper image; (e) and (f): the PSNR and SSIM for MRI image.
Luyao Shi (565376), Jiasong Wu (565377), Huazhong Shu (565375), Jian Yang (12136), Yang Chen (9737), Christine Toumoulin (565380), Limin Luo (565378), Jean-Louis Coatrieux (565379)   +7 more
core   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Based on TransRes-Pix2Pix network to generate the OBL image during SMILE surgery

Frontiers in Cell and Developmental Biology
AimGenerative adversarial networks (GANs) were employed to predict the morphology of OBL before femtosecond laser scanning during SMILE.MethodsA retrospective cross-sectional analysis was conducted on 4,442 eyes from 2,265 patients who underwent SMILE ...
Zeyu Zhu, Zeyu Zhu, Peifen Lin, Lingling Zhong, Qing Wang, Jingjing Xu, Kang Yu, Zheliang Guo, Yicheng Xu, Taorong Qiu, Yifeng Yu   +10 more
doaj   +1 more source

Comparison parameters PSNR, SSIM and VIF using dataset [39].

, 2019
Comparison parameters PSNR, SSIM and VIF using dataset [39].
Tariq Bashir (127259), Imran Uddin Afridi (6729776), Tariq Mahmood Khan (6729782), Hasan Ali Khattak (6729779), Muhammad Imran (282621)   +4 more
core   +1 more source

SSIM values of different interpolation schemes (Interpolation Factor 2).

, 2020
SSIM values of different interpolation schemes (Interpolation Factor 2).
Yuanpeng Zhu (8748354), Mingshan Qiu (8748351)   +1 more
core   +1 more source