Supported by:
Grant Agency of the Czech Republic, No. 102/08/1593
Jointly with the:
Astronomical Inst. of the ASCR
Duration:
2008 - 2010
Abstract:
This project concerns superresolution (SR) of digital images and
videos. SR means an improvement of spatial resolution of images
beyond the physical limit of the sensor. The central idea of SR is
combining a sequence of low-resolution images in order to produce
higher resolution image. Current SR techniques use very simplified
image acquisition models only, which prevents them from being
applicable in practice. We propose a realistic acquisition model,
comprising constant sensor blur, unknown volatile blur(s),
downsampling (by non-integer factor in general), and geometric
deformations. We show the SR problem is equivalent to a
minimization of certain functionals with proper regularization
terms. We focus on SR of a single gray-level image, SR of color
images, SR of video, and SR of images of 3D scenes. Each of these
cases requires specific treatment. The theoretical results will be
applied to enhance visual quality of ground-based and satellite
astronomical observations. In addition to astronomy, we envisage
numerous applications wherever cameras/imaging systems having
insufficient resolution are used (security and surveillance
systems, cell phones, web cameras, low-cost video cameras, etc.).
