Open access peer-reviewed Edited Volume

Compressed Optical Imaging - Recent Advances, New Perspectives and Applications

Sherif Sherif

University of Manitoba

Dr. Sherif is an international expert on optical imaging systems and sparse signal processing with experience in both academic research and industrial R&D environments. He is an owner of four patents and author or co-author of over 110 scientific publications supporting collaboration with Academia, Government, and Industry.


Costel Flueraru

National Research Council Canada

Dr. Flueraru is an international expert on optical imaging systems and an owner of two patents with over 100 scientific publications.


Sparse Image Processing Kronecker Compressed Sensing Adaptive Compressed Sensing Sparse Denoising Single Pixel Imaging Superresolution Sparse Tomographic Image Reconstruction Inverse Problems Dimensionality Reduction Endmember Identification Visible Absorption Spectroscopy Nir Absorption Spectroscopy

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About the book

Optical images could be acquired either directly by using, e.g., a simple lens, or indirectly, as in the case of tomography, by using data acquisition hardware followed by a computational image reconstruction step. Computational optical imaging is a highly promising approach for direct or indirect imaging that involves the joint design of image acquisition hardware and digital processing algorithms to achieve imaging performance that would otherwise be unattainable by conventional systems.

Despite much advances in computational power, the processing (and storage) of acquired signals in applications such as real-time medical imaging, remote surveillance, and spectroscopy still pose a remarkable challenge. In addition, it may be too costly, or even physically impossible, to build optical hardware to acquire imaging data at the Nyquist sampling (measurement) rate that is required for high imaging performance, i.e., high resolution, large field-of-view, and high frame rates.

Compressed Sensing involves the digital construction of an image using a number of samples (measurements) that are significantly less than its dimension. By assuming that the unknown image is sparse in the domain where the measurements were acquired, one could use this sparsity constraint as prior information to obtain an approximate but accurate reconstruction of the image from relatively few samples.

This book will be about the design and implementation of optical imaging systems, particularly, optical microscopy, optical coherence tomography, and hyperspectral imaging, using compressed sensing approaches. It will be particularly concerned with compressed sensing data acquisition approaches, and computational challenges involved in processing very large imaging data sets that traditionally result from 3D and/or real-time biomedical and industrial imaging applications.

Publishing process

Book initiated and editor appointed

Date completed: October 16th 2020

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: November 13th 2020

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: January 12th 2021

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: April 2nd 2021

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: June 1st 2021

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About the editor

Sherif Sherif

University of Manitoba

Prof. Sherif is an Associate Professor of Electrical and Computer Engineering, University of Manitoba, he is also a Core faculty member and a member at Large of the Executive Committee, Biomedical Engineering Program, University of Manitoba. His research areas cover Optical Imaging, Statistical Signal and Image Processing. With the experience in both academic research and industrial R&D environments, Prof. Sherif has authored and co-authored over 110 scientific publications, he supervised research of 80 undergraduate, graduate students and postdoc fellows. He is a member of graduate advisory committees of 43 students, an external examiner of 3 national and 4 international Ph.D. theses. Prof. Sherif delivered 34 invited talks in Manitoba (12), Canada (5) and International (17) and an invited course on Advanced Signal Processing (15 hours), Egypt. He is the owner of 4 patents, one licenced to OmniVision CDM Optics, Inc., Boulder, Colorado, USA. With over 17 years teaching experience in higher education (3 teaching awards), he introduced and taught 2 new undergraduate (including labs) courses, and 6 new graduate courses, at U. Manitoba. Also, he developed and taught new labs for an existing undergraduate class. Prof. Sherif supports extensive collaboration with Academia, Government and Industry, has international consulting experience (Australia) and a research collaboration with groups in USA, Brazil, Thailand and UK. He was leading a 3-year optical coherence tomography-related research project in China through a prestigious travel grant from the Chinese Recruitment Program of High-end Foreign Experts program (on hold because of Covid-19). Besides, Prof. Sherif is an Adjunct Professor, Electrical and Comp. Eng. North Dakota State University, USA. He received two research related awards, Innovate Manitoba and University of Kent, UK. He also had academic visiting positions at Imperial College London, UK and University of Arizona. Finally, he is a Professional Engineer, P. Eng., Manitoba and a senior member, Optical Society of America.

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