Rc. Hardie et al., JOINT MAP REGISTRATION AND HIGH-RESOLUTION IMAGE ESTIMATION USING A SEQUENCE OF UNDERSAMPLED IMAGES, IEEE transactions on image processing, 6(12), 1997, pp. 1621-1633
Citations number
28
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Software Graphycs Programming","Computer Science Theory & Methods
In many imaging systems, the detector array is not sufficiently dense
to adequately sample the scene with the desired field of view, This is
particularly true for many infrared focal plane arrays, Thus, the res
ulting images may be severely aliased, This paper examines a technique
for estimating a high-resolution image, with reduced aliasing, from a
sequence of undersampled frames, Several approaches to this problem h
ave been investigated previously, However, in this paper a maximum a p
osteriori (MAP) framework for jointly estimating image registration pa
rameters and the high-resolution image is presented, Several previous
approaches have relied on knowing the registration parameters a priori
or have utilized registration techniques not specifically designed to
treat severely aliased images, In the proposed method, the registrati
on parameters are iteratively updated along with the high-resolution i
mage in a cyclic coordinate-descent optimization procedure, Experiment
al results are provided to illustrate the performance of the proposed
MAP algorithm using both visible and infrared images, Quantitative err
or analysis is provided and several images are shown for subjective ev
aluation.