Results 161 to 170 of about 31,180 (236)
A Multi-Task Training Semantic Communication System for Image Reconstruction and Classification Tasks. [PDF]
Wang Z, Li H.
europepmc +1 more source
To address the trade‐off between depth discriminability and texture preservation in PSF‐engineered imaging, a polarization‐multiplexed metalens is developed to decouple depth estimation from extended‐depth‐of‐field texture acquisition. The DH‐derived depth guides depth‐matched Airy PSF selection for non‐blind texture recovery, while computational ...
Xinyi Tian +12 more
wiley +1 more source
A two-step iterative framework for signal and image deblurring using G-I-Nonexpansive Mappings. [PDF]
Yolacan E.
europepmc +1 more source
PSNR Enhancement with adaptive pipelined scheduling for H.264 encoder
H.264 is one of the latest block-oriented motion estimation based video coding standards. It provides much better image quality and compression ratio with the large increment of computational complexity compared to previous coding standards.
Ho, HsingYing, 何信瑩
core
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Bio-Inspired Low-Light Image Enhancement with Large Kernel Convolution and Attention. [PDF]
Liu X, Pan H, Yu X, Xi J, Peng Y.
europepmc +1 more source
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa +7 more
wiley +1 more source
Research on Medical Image Super-Resolution Reconstruction Algorithm Based on Dilated Convolution and Multi-Module Fusion. [PDF]
Xu Z, Guo Y.
europepmc +1 more source
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim +2 more
wiley +1 more source
Lightweight Asymmetric Convolutional Residual Network for Efficient Motion Image Deblurring. [PDF]
Li H, Yue Y, Li J, Guo Z, Wu M.
europepmc +1 more source

