Confocal Raman microscopy and multivariate statistical analysis for determination of different penetration abilities of caffeine and propylene glycol applied …
SM Ascencio, CS Choe, MC Meinke, RH Müller… - European journal of …, 2016 - Elsevier
Propylene glycol is one of the known substances added in cosmetic formulations as a
penetration enhancer. Recently, nanocrystals have been employed also to increase the skin …
penetration enhancer. Recently, nanocrystals have been employed also to increase the skin …
Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising
Denoising of hyperspectral images (HSIs) is an important preprocessing step to enhance the
performance of its analysis and interpretation. In reality, a remotely sensed HSI experiences …
performance of its analysis and interpretation. In reality, a remotely sensed HSI experiences …
Region-aware reflection removal with unified content and gradient priors
Removing the undesired reflections in images taken through the glass is of broad
application to various image processing and computer vision tasks. Existing single image …
application to various image processing and computer vision tasks. Existing single image …
Image denoising by exploring external and internal correlations
Single image denoising suffers from limited data collection within a noisy image. In this
paper, we propose a novel image denoising scheme, which explores both internal and …
paper, we propose a novel image denoising scheme, which explores both internal and …
Image denoising via adaptive soft-thresholding based on non-local samples
This paper proposes a new image denoising approach using adaptive signal modeling and
adaptive soft-thresholding. It improves the image quality by regularizing all the patches in …
adaptive soft-thresholding. It improves the image quality by regularizing all the patches in …
Iterative weighted sparse representation for X‐ray cardiovascular angiogram image denoising over learned dictionary
Non‐local self‐similar patch‐based denoising techniques have been viewed as the most
popular denoising approaches in computer vision. This study has proposed a novel iterative …
popular denoising approaches in computer vision. This study has proposed a novel iterative …
Ultrasonic defect detection of high-density polyethylene pipe materials using FIR filtering and block-wise singular value decomposition
Condition monitoring of high-density polyethylene (HDPE) pipes used for fluid and gas
transfer is important for the safety of energy conservation and the environment. Ultrasonic …
transfer is important for the safety of energy conservation and the environment. Ultrasonic …
How to SAIF-ly boost denoising performance
Spatial domain image filters (eg, bilateral filter, non-local means, locally adaptive regression
kernel) have achieved great success in denoising. Their overall performance, however, has …
kernel) have achieved great success in denoising. Their overall performance, however, has …
Adaptive compressed sampling based on EMD for wireless sensor networks
W Wang, J Chen, Y Zhang, J Xia… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Image acquisition and communication in wireless sensor networks (WSNs) are key issues
for some applications that require image sensing. Lowering the sampling rate and reducing …
for some applications that require image sensing. Lowering the sampling rate and reducing …
PCANet-based convolutional neural network architecture for a vehicle model recognition system
Vehicle model recognition plays a crucial role in intelligent transportation systems. Most of
the existing vehicle model recognition methods focus on locating a large global feature or …
the existing vehicle model recognition methods focus on locating a large global feature or …