Results 81 to 90 of about 54,446 (214)
A Novel Based On Image Blocking Method To Encrypt-Decrypt Color
Encryption of digital color image is the process of conversion original digital color image into an encrypted one to protect the image from hacking or to prevent an authorized person to get the valuable information located in the color image. The process
Jamil Al-Azzeh +4 more
doaj +1 more source
A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai +4 more
wiley +1 more source
Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution
In this work, we consider the image super-resolution (SR) problem. The main challenge of image SR is to recover high-frequency details of a low-resolution (LR) image that are important for human perception.
Feng, Jiashi +6 more
core +1 more source
Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding +6 more
wiley +1 more source
Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun +9 more
wiley +1 more source
This paper demonstrates a snapshot 5D and modality‐switchable lensless camera (Diffuser‐mCam), which can encode 2D intensity, multi‐spectral, polarization, and time information into a monochromatic raw data, and subsequently decode it using the compressed sensing algorithm at the sampling rate of 2.5% per channel.
Ze Zheng +11 more
wiley +1 more source
Medical Image Denoising by Improved Kuan Filter
This paper focuses on the issue of speckle noise and its suppression. Firstly, the multiplicative speckle noise model and its mathematical formulation are introduced. Then, certain de-noising methods are described together with possible improvements.
Radek Benes, Kamil Riha
doaj +1 more source
High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction
ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan +4 more
wiley +1 more source
Impact of Constant Rate Factor on Objective Video Quality Assessment
This paper deals with the impact of constant rate factor value on the objective video quality assessment using PSNR and SSIM metrics. Compression efficiency of H.264 and H.265 codecs defined by different Constant rate factor (CRF) values was tested.
Juraj Bienik +2 more
doaj +1 more source
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and ...
Aizada Nurdinova +6 more
wiley +1 more source

