ABSTRACT
CONTENTS 21.1 Introduction......................................................................................................................483 21.2 Previous Research............................................................................................................484 21.3 Generalized Acquisition Model.....................................................................................487 21.4 Joint MAP Registration Algorithm with Gaussian-Markov
Random Field as Image Prior ........................................................................................488 21.5 Regularized Cost Function in Multichannel Form .....................................................491 21.6 Estimation of the Regularization Parameter................................................................491 21.7 Extension to the Color Case ...........................................................................................493 21.8 Experimental Results ......................................................................................................493 21.9 Summary...........................................................................................................................499 References.....................................................................................................................................499
In many imaging systems, the resolution of the detector array of the camera is not sufficiently high for a particular application. Furthermore, the capturing process introduces additive noise and the point spread function of the lens and the effects of the finite size of the photo detectors further degrade the acquired video frames. An important limitation of electronic imaging today is that most available still-frame or video cameras can only record images at a resolution lower than desirable. This is related to certain physical limitations of the image sensors, such as finite cell area and finite aperture time. Although high-resolution imaging sensors are being advanced, these may be too expensive or unsuitable for mobile imaging applications.
