Image Denoising – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Yuan Fang

Muhammed Patel — Mon, 29 May 2023 18:15:58 +0000

Yuan Fang received her Ph.D. degree from the VIP lab of the Department of systems design engineering, University of Waterloo, ON, Canada in 2022. Her research interests include remote sensing image processing, hyperspectral imaging, machine learning, and environmental monitoring. She received her B.Eng. and M.Sc. degrees in geomatics engineering from China University of Geosciences, Beijing, China, in 2016 and 2018, respectively.

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Wen Zhang

vipadmin — Thu, 23 Mar 2023 20:26:29 +0000

Wen Zhang received his BASc in Systems Design Engineering from the University of Waterloo, Canada, in 2007, and his MASc in Systems Design Engineering from the University of Waterloo in 2009, where he was the recipient of the NSERC Graduate Scholarship. He currently works at Janro Imaging Laboratory in Montreal, Canada, the developers of the Stereoscopic Animation and Drawing Device (SANDDE), a system that allows artists and animators to create artwork directly in immersive 3D space.

Supervisors

David Clausi, John Zelek

Research interests

My research interests include computer vision, 3D input devices, motion capture, and computer graphics for stereoscopic applications.

Research topics

Biomedical Imaging
Computer Vision
Remote Sensing
Stochastic Models

Research demos

Image Denoising
SAR Sea Ice Image Synthesis

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Edward Li

vipadmin — Thu, 23 Mar 2023 19:27:05 +0000

I am originally from Beijing, China. I moved to Canada in 2005. I am currently a MASc student in the VIP lab working on biomedical imaging applications, hyperspectral imaging technologies and image sparse reconstruction.

Supervisors

Alexander Wong, David Clausi

Research interests

My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on sparse reconstruction, conditional random fields, Hyperspectral imaging, MRI, Optical Coherence Tomography (OCT) and other medical imaging techniques and applications.

Research topics

Biomedical Imaging
Computer Vision
Remote Sensing

Research demos

Compressed Sensing
Image Denoising
Skin Cancer Detection

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Fu Jin

vipadmin — Thu, 23 Mar 2023 18:15:20 +0000

Supervisors

Paul Fieguth

Research topics

Multiresolution Techniques

Research demos

Image Denoising

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Akshaya Mishra

vipadmin — Thu, 23 Mar 2023 18:04:04 +0000

Akshaya has been working in the field of image processing, pattern recognition and computer vision for nine years. He has been publishing and serving as an reviewer for several key image processing and computer vision conferences and journals.

He has obtained a Master of Technology in Automation and Computer Vision from Indian Institute of Technology, Kharagpur, India and a Ph.D. degree in pattern analysis and machine intelligence from Systems Design Department of University of Waterloo. Prior to starting his Ph.D, Akshaya worked for two years and six months for Read-Ink Technology Pvt. Ltd to develop machine learning and pattern recognition algorithms for online hand written character recognition engine.

After completing his Ph.D. Akshaya worked for one year for Tornado Medical Systems, where he developed algorithms for reconstruction and analysis of Optical Coherence Tomography (OCT) signals. Recently, Akshaya has joined Miovision Technologies Pvt. Ltd to work in the areas of intelligent traffic data analysis and management. Akshaya’s interest includes but are not limited to document image analysis, medical image reconstruction and analysis with a focus on Optical Coherence Tomography signals, traffic data analysis and management, quantitative image quality assessment and modeling and optimization of data of any kind.

Email: akmishra@engmail.uwaterloo.ca

Supervisors

David Clausi, Paul Fieguth

Research topics

Biomedical Imaging
Computer Vision
Evolutionary Deep Intelligence
Image Segmentation/Classification
Remote Sensing
Video Analysis

Research demos

Decoupled Active Contours
Image Denoising

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Image Denoising

vipadmin — Tue, 21 Mar 2023 16:07:55 +0000

One of the fundamental challenges in the field of image processing and computer vision is image denoising, where the underlying goal is to estimate the original image by suppressing noise from a noise-contaminated version of the image. Image noise may be caused by different intrinsic (i.e., sensor) and extrinsic (i.e., environment) conditions which are often not possible to avoid in practical situations. Therefore, image denoising plays an important role in a wide range of applications such as image restoration, visual tracking, image registration, image segmentation, and image classification, where obtaining the original image content is crucial for strong performance. While many algorithms have been proposed for the purpose of image denoising, the problem of image noise suppression remains an open challenge, especially in situations where the images are acquired under poor conditions where the noise level is very high.

In the VIP lab, we investigate an alternative approach to the problem of image denoising based on data-adaptive stochastic optimization via Markov-Chain Monte Carlo sampling. By formulating the problem as a Bayesian optimization problem and taking a nonparametric stochastic strategy to solving this problem, such a Markov-Chain Monte Carlo denoising (MCMCD) strategy dynamically adapts to the underlying image and noise statistics in a flexible manner to provide high denoising performance while maintaining relatively low computational complexity.

Examples of the results produced using the MCMCD strategy are shown below:

Related people

Directors

Students

Alumni

Related research areas

Image Segmentation/Classification

Related publications

Journal Articles

Conference Papers

Alexander Wong

Alexander Wong — Thu, 23 Feb 2023 21:38:59 +0000

Alexander Wong is currently the Canada Research Chair in Medical Imaging Systems and an assistant professor in the Department of Systems Design Engineering at the University of Waterloo. He had previously received his B.A.Sc. degree in Computer Engineering from the University of Waterloo, Waterloo, ON, Canada in 2005, his M.A.Sc. degree in Electrical and Computer Engineering from the University of Waterloo, Waterloo, ON, Canada in 2007, and his Ph.D. degree Systems Design Engineering from the University of Waterloo, ON, Canada in 2010. He was also a NSERC postdoctoral research fellow at Sunnybrook Health Sciences Centre. He has published over 450 refereed journal and conference papers, as well as patents, in various fields such as computational imaging, artificial intelligence, computer vision, and multimedia systems. He has received numerous awards including three Outstanding Performance Awards, a Distinguished Performance Award, an Engineering Research Excellence Award, a Sandford Fleming Teaching Excellence Award, an Early Researcher Award from the Ministry of Economic Development and Innovation, a Best Paper Award at the NIPS Workshop on NIPS Workshop on Transparent and Interpretable Machine Learning (2017), a Best Paper Award at the NIPS Workshop on Efficient Methods for Deep Neural Networks (2016), two Best Paper Awards by the Canadian Image Processing and Pattern Recognition Society (CIPPRS) (2009 and 2014), a Distinguished Paper Award by the Society of Information Display (2015), two Best Paper Awards for the Conference of Computer Vision and Imaging Systems (CVIS) (2015,2017), Synaptive Best Medical Imaging Paper Award (2016), two Magna Cum Laude Awards and one Cum Laude Award from the Annual Meeting of the Imaging Network of Ontario, CIX TOP 20 (2017), AquaHacking Challenge First Prize (2017), Best Student Paper at Ottawa Hockey Analytics Conference (2017), and the Alumni Gold Medal.

Students

Supervision – Current

PDF

ph.D.

M.A.Sc.

Supervision – Completed

PDF

ph.D.

M.A.Sc.

Research topics

Biomedical Imaging
Computer Vision
Discovery Radiomics
Evolutionary Deep Intelligence
Image Segmentation/Classification
Multiresolution Techniques
Remote Sensing
Scientific Imaging
Stochastic Models
Video Analysis

Research demos

Action Recognition in Video
Bias Field Correction in Endorectal Diffusion Imaging
Coded Hemodynamic Imaging
Correlated Diffusion Imaging
Disparate Scene Registration
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals
Enhanced Low-dose Computed Tomography
Grid Seams: A fast superpixel algorithm for real-time applications
Hybrid Structural and Texture Distinctiveness Vector Field Convolution for Region Segmentation
Image Denoising
Multiplexed Optical High-coherence Interferometry
SAR Sea Ice Image Synthesis
Skin Cancer Detection
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images
Stereo Vision for Dimension Estimation

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

Paul Fieguth

Paul Fieguth — Thu, 23 Feb 2023 20:12:37 +0000

Paul Fieguth received his B.A.Sc. degree from the University of Waterloo, Ontario, Canada, in 1991 and his Ph.D. degree from the Massachusetts Institute of Technology, Cambridge, in 1995, both degrees in electrical engineering. He joined the faculty at the University of Waterloo in 1996, where he is currently Professor and, since 2010, Department Chair in Systems Design Engineering. He has held visiting appointments at the University of Heidelberg in Germany, at INRIA/Sophia in France, at the Cambridge Research Laboratory in Boston, at Oxford University and the Rutherford Appleton Laboratory in England, and with postdoctoral positions in Computer Science at the University of Toronto and in Information and Decision Systems at MIT.

Students

Supervision – Current

PDF

ph.D.

M.A.Sc.

Supervision – Completed

PDF

ph.D.

M.A.Sc.

Research topics

Biomedical Imaging
BIOSCAN Insect Biodiversity Assessment
Computer Vision
Image Segmentation/Classification
Multiresolution Techniques
Remote Sensing
Scientific Imaging
Stochastic Models
Video Analysis

Research demos

3D Reconstruction of Underwater Scenes
Decoupled Active Contours
Image Denoising
Porous Media
SAR Sea Ice Image Synthesis
Skin Cancer Detection
Texture Classification

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

Top

David Clausi

David A Clausi — Mon, 13 Feb 2023 20:18:05 +0000

I completed my Ph.D. in Systems Design Engineering in 1996 and immediately afterwards, I worked in software medical imaging field at Agfa (nee Mitra) in Waterloo, Ontario. I started my academic career in 1997 as an Assistant Professor in Geomatics Engineering at the University of Calgary, Canada. In 1999, I returned to my alma mater and I am now a Professor specializing in the fields of Intelligent and Environmental Systems. In addition, I was the Associate Chair – Graduate Studies (2009-2012). I was the Co-chair of IAPR Technical Committee 7 – Remote Sensing during 2004-2006. I have numerous recognitions, including received five Outstanding Performance Awards, three Distinguished Performance Awards, the Sanford Fleming Teaching Excellence Award, and a University of Calgary Teaching Excellence Award. In 2010, I received the award for “Research Excellence and Service to the Research Community” by the Canadian Image Processing and Pattern Recognition Society (CIPPRS). In 2012, I received the Engineering Research Excellence Award.

Currently, I am the Associate Dean – Research & External Partnerships within the Faculty of Engineering, responsible for all research related activities in the largest Engineering school in Canada.

Research interests

My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of SAR (synthetic aperture radar) and sports analytics (ice hockey). I am an active interdisciplinary and multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields of remote sensing, sports analytics, computer vision, algorithm design, and biomechanics. My research efforts have led to successful commercial implementations including creating and selling a startup company (CREZ).