EURASIP Journal on Applied Signal Processing
Special Issue on
Super-Resolution Imaging: Analysis, Algorithms, and Applications
Call for Papers
The recent increase in the wide use of digital imaging technologies
in consumer (e.g., digital video) and other markets
(e.g., security and military) has brought with it a simultaneous
demand for higher-resolution images. The demand for such
high-resolution (HR) images can be met by algorithmic advances in
super-resolution (SR) technology in place of^×or in tandem
with^×hardware development. Such HR images not only give the viewer
a more pleasing picture but also offer additional details that are
important for subsequent analysis in many applications.
The current approach to obtaining HR images mainly relies on sensor
manufacturing technology that attempts to increase the number of
pixels per unit area by reducing the pixel size. However, the cost
for high-precision optics and sensors may be prohibitive for general
purpose commercial applications, and there is a limitation to pixel
size reduction due to shot noise encountered in the sensor itself.
Therefore, a resolution enhancement (super-resolution) approach
using computational, mathematical, and statistical techniques has
received a great deal of attention recently. The relevant signal
processing technology for this SR approach to high-quality imaging
is the topic of this special issue.
The scope of techniques intended to overcome the above limitations
that will be covered in this special issue will include: enhancement
in spatial resolution for both gray-scale and color images and
video, suppression of signal dependent noise, and various other
associated artifacts.
Because of the recent emergence of many key relevant computational,
mathematical, and statistical techniques, and the increasing
importance of digital imaging technology, a special issue of the
EURASIP JASP dedicated to the topic of SR imaging is quite timely.
A more detailed list of SR imaging topics of interest include
(but are not limited to):
0 Multiframe/multichannel direct and blind deconvolution in SR
0 Subpixel motion estimation
0 SR in time and dynamic range, etc
0 Artifact analysis of sensors and optics
0 Video-to-video SR imaging
0 Multiframe demosaicing and SR imaging
0 Wavelet-based methods for SR imaging
0 PDE-based methods for SR imaging
0 Locally adaptive image interpolation
0 SR in medical, astronomical, security/surveillance, and other applications
Authors should follow the EURASIP JASP manuscript format
described at the journal site http://www.hindawi.com.eg/asp/.
Prospective authors should submit an electronic copy of their
complete manuscript through the EURASIP JASP's manuscript
tracking system at journal's web site, according
to the following timetable.
Manuscript Due December 1, 2004
Acceptance Notification April 1, 2005
Final Manuscript Due July 1, 2005
Publication Date 4th Quarter, 2005
GUEST EDITORS:
Michael Ng, Department of Mathematics, The University of Hong
Kong; mng@maths.hku.hk
Tony Chan, Department of Mathematics, University of California,
Los Angeles; chan@math.ucla.edu
Moon Gi Kang, Department of Electrical Engineering,
Yonsei University; mkang@yonsei.ac.kr
Peyman Milanfar, Department of Electrical Engineering,
University of California, Santa Cruz; milanfar@ee.ucsc.edu