Related references
Note: Only part of the references are listed.Brain Intelligence: Go beyond Artificial Intelligence
Huimin Lu et al.
MOBILE NETWORKS & APPLICATIONS (2018)
A recent survey on image watermarking techniques and its application in e-governance
Chandan Kumar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2018)
A review on CT image noise and its denoising
Manoj Diwakar et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Low illumination underwater light field images reconstruction using deep convolutional neural networks
Huimin Lu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
CT image denoising using NLM and correlation-based wavelet packet thresholding
Manoj Diwakar et al.
IET IMAGE PROCESSING (2018)
Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
Akankasha Sharma et al.
JOURNAL OF INTELLIGENT SYSTEMS (2018)
Wound intensity correction and segmentation with convolutional neural networks
Huimin Lu et al.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2017)
Wavelet-Based Total Variation and Nonlocal Similarity Model for Image Denoising
Yan Shen et al.
IEEE SIGNAL PROCESSING LETTERS (2017)
Adaptively Tuned Iterative Low Dose CT Image Denoising
SayedMasoud Hashemi et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2015)
Non-Local Means Image Denoising With a Soft Threshold
Lu Lu et al.
IEEE SIGNAL PROCESSING LETTERS (2015)
Performance Improvement of Average Based Spatial Filters through Multilevel Preprocessing using Wavelets
Balasubramanian Gopalan et al.
IEEE SIGNAL PROCESSING LETTERS (2015)
An adaptive edge-preserving image denoising technique using tetrolet transforms
Paras Jain et al.
VISUAL COMPUTER (2015)
Underwater image dehazing using joint trilateral filter
Seiichi Serikawa et al.
COMPUTERS & ELECTRICAL ENGINEERING (2014)
Adaptive nonlocal means filtering based on local noise level for CT denoising
Zhoubo Li et al.
MEDICAL PHYSICS (2014)
Image denoising based on non-local means filter and its method noise thresholding
B. K. Shreyamsha Kumar
SIGNAL IMAGE AND VIDEO PROCESSING (2013)
Computed tomography perfusion imaging denoising using Gaussian process regression
Fan Zhu et al.
PHYSICS IN MEDICINE AND BIOLOGY (2012)
Fast CT Image Processing using Parallelized Non-local Means
Hao Wu et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2011)
Wavelet-Domain Medical Image Denoising Using Bivariate Laplacian Mixture Model
Hossein Rabbani et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2009)
Image denoising in steerable pyramid domain based on a local Laplace prior
Hossein Rabbani
PATTERN RECOGNITION (2009)
The Split Bregman Method for L1-Regularized Problems
Tom Goldstein et al.
SIAM JOURNAL ON IMAGING SCIENCES (2009)
Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis
Anja Borsdorf et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)
Multiple CT-reconstructions for locally adaptive anisotropic wavelet denoising
Anja Borsdorf et al.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2008)
The SURE-LET approach to image denoising
Thierry Blu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2007)
Image denoising by sparse 3-D transform-domain collaborative filtering
Kostadin Dabov et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2007)
Image denoising via sparse and redundant representations over learned dictionaries
Michael Elad et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2006)
A review of image denoising algorithms, with a new one
A Buades et al.
MULTISCALE MODELING & SIMULATION (2005)
Radiation dose and image quality in pediatric CT: Effect of technical factors and phantom size and shape
MJ Siegel et al.
RADIOLOGY (2004)
Dose reduction in pediatric CT: A rational approach
JM Boone et al.
RADIOLOGY (2003)
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
L Sendur et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2002)
Technique factors and image quality as functions of patient weight at abdominal CT
W Huda et al.
RADIOLOGY (2000)
Spatially adaptive wavelet thresholding with context modeling for image denoising
SG Chang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2000)