COLLOQUIUM
Department of Computer Science and Engineering
University of South Carolina

Super-Resolution Image Reconstruction
Dipti Patra
Electrical Engineering Department
National Institute of Technology Rourkela

Date: September 24, 2014
Time: 1400-1500 (2-3pm)
Place: Swearingen 1A03 (Faculty Lounge)

Abstract

Image reconstruction is a mathematical process to retrieve information
that has been lost or obscured in the imaging process. The cause of
degradation in the imaging process is mainly due to optical
distortion, motion blur due to limited shutter speed, environmental
noise and aliasing effects. In contrast to image enhancement, where
the appearance of an image is improved to suit human subjective
preferences, image reconstruction is an objective approach to recover
the image based on mathematical and statistical models of image
degradation. However, enhancement of the resolution of the
reconstructed image is a key requirement to improve both pictorial
information for human interpretation and representation for automatic
machine perception. High resolution refers to high pixel
density. Images with high pixel density offer important and critical
information in various practical applications. Super Resolution (SR)
reconstruction is one of the software level solutions for the
enhancement of the spatial resolution of the reconstructed image. The
term "super" in super resolution signifies that the technique
can overcome the inherent resolution limitation of LR imaging systems.
It works by the fusion of non-redundant information contained in
single or multiple low resolution images of the same source image with
sub-pixel shifts. SR reconstruction overcomes the limitations
associated with hardware implementations along with of theory of
optics to increase the resolution of an image. This method has a wide
range of applications such as: surveillance video, remote sensing,
medical imaging and video standard conversion. This talk is to provide
a review of the current state of research on super-resolution
reconstruction with some potential future directions.  

Dr. Dipti Patra is an Associate Professor in the Electrical Engineering
Department at the National Institute of Technology in Rourkela, India.
She obtained the Ph.D. degree in Electrical Engineering from the same
institution in 2006.  Her major research focus areas are Digital
Signal (especially Image and Video) Processing, Computer Vision, and
Stochastic Processes.  She is a Senior Member of IEEE, Fellow of
Institution of Electronics and Telecom Engineers, India, Fellow of The
Institution of Engineers, India. She has published 55 research papers
in national or international refereed journals and conference
proceedings. She has been the reviewer of many international journals
such as: IET Image Processing (IET), Systems and Information Sciences
(Elsevier), Mathematical Problems in Engineering, Arabian Journal in
Science & Engineering (Springer), Computer Journal (Oxford University
Press), and Hindwai Journals. She has worked as a Program Committee
Member of many IEEE International Conferences, e.g. Pattern
Recognition & Machine Intelligence 2013. Currently (September 13-16),
she is a visitor at the University of South Carolina doing
collaborative research work with Prof. Yan Tong with support from an
international faculty exchange program.