Prof. Gaurav Sharma
SPIE Involvement:
Author | Editor | Instructor | Visiting Lecturer
Area of Expertise:
color imaging , visual sensor networks , image processing , media forrensics and security , communications , signal processing
Profile Summary

Gaurav Sharma is with the University of Rochester, where he is a Professor in the Department of Electrical and Computer Engineering , Department of Computer Science , Department of Biostatistics and Computational Biology, and Department of Oncology. From 2008-2010, he served as the Director for the Center for Emerging and Innovative Sciences (CEIS), a New York state supported center for promoting joint university-industry research and technology development, which is housed at the University of Rochester. From 1996 through 2003, he was with Xerox Research and Technology in Webster, NY first as a member of research and technology staff and then as a Principal Scientist and Project Leader. He received the Ph.D. in Electrical and Computer Engineering from North Carolina State University, Raleigh, NC, and masters degrees in Applied Mathematics from NCSU and in Electrical Communication Engineering from the Indian Institute of Science, Bangalore, India. He received his bachelor of engineering degree in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee (formerly, Univ. of Roorkee).

Dr. Sharma is a fellow of SPIE, a fellow of the IEEE, and a fellow of the Society for Imaging Science and Technology (IS&T). He is also an elected member of Sigma Xi, the scientific research society and the Phi Kappa Phi and Pi Mu Epsilon honor societies. Dr. Sharma is the Editor-in-Chief for the Journal of Electronic Imaging. He has previously served as an associate editor for the Journal of Electronic Imaging, for the IEEE Transactions on Information Forensics and Security, for the IEEE Transactions on Image Processing. He is the editor of the "Digital Color Imaging Handbook" published by CRC press. He was the Chair and Co-Chair, respectively, for the 2013 and 2012 IS&T/SPIE Electronic Imaging (EI) Symposia and Technical Program Co-Chair for the 2012 IEEE International Conference on Image Processing (ICIP).
Publications (52)

SPIE Journal Paper | 5 June 2019
JEI Vol. 28 Issue 03
KEYWORDS: Distortion, Visualization, RGB color model, Error analysis, Data modeling, Affine motion model, Cameras, Lead, Image processing, Video

SPIE Journal Paper | 4 June 2019
JEI Vol. 28 Issue 03
KEYWORDS: RGB color model, Visualization, Image resolution, Error analysis, Image segmentation, Lithium, Statistical analysis, Image analysis, 3D image processing, Image filtering

SPIE Journal Paper | 14 November 2017
JEI Vol. 26 Issue 06
KEYWORDS: LCDs, Detection and tracking algorithms, 3D displays, Optimization (mathematics), Electronic filtering, Matrices, Displays, UV optics, Colorimetry, Binary data

SPIE Journal Paper | 1 April 2016
JEI Vol. 25 Issue 02
KEYWORDS: Imaging systems, Visibility, Mining, Electronic imaging, Stereoscopic displays, Control systems, Machine vision, Computational imaging, Compressed sensing, Video surveillance

SPIE Journal Paper | 7 January 2016
JEI Vol. 25 Issue 01

Showing 5 of 52 publications
Proceedings Volume Editor (1)

Conference Committee Involvement (23)
Visual Information Processing and Communication VI
10 February 2015 | San Francisco, California, United States
Media Watermarking, Security, and Forensics 2015
9 February 2015 | San Francisco, California, United States
Image Processing and Pattern Recognition
13 May 2014 | Beijing, China
Visual Information Processing and Communication V
5 February 2014 | San Francisco, California, United States
Media Watermarking, Security, and Forensics 2014
3 February 2014 | San Francisco, California, United States
Showing 5 of 23 Conference Committees
Course Instructor
SC1154: Introduction to Digital Color Imaging
This short course provides an introduction to color science and digital color imaging systems. Foundational knowledge is introduced first via a overview of the basics of color science and perception, color representation, and the physical mechanisms for displaying and printing colors. Building upon this base, an end-to-end systems view of color imaging is presented that covers color management and color image processing for display, capture, and print. A key objective of the course is to highlight the interactions between the different modules in a color imaging system and to illustrate via examples how co-design has played an important role in the development of current digital color imaging devices and algorithms.
  • View contact details

Is this your profile? Update it now.
Don’t have a profile and want one?

Back to Top