Local object-based super-resolution mosaicing from low-resolution video
Many efficient super-resolution methods have been presented in the past for improving resolution of images degraded by global blurs. Unfortunately, in video, more complex situations can be observed where local blurs appear in each frame which are mainly caused by object motions. To address this problem, we propose in this article a local super-resolution method which allows the restoration of such local blurs. Moreover, the motion of objects in video sequences may be very complex and particularly in very low-resolution sequences it is difficult to estimate their motion exactly enough to superimpose them for super-resolution. To this end, we present a generic method: An interpolation method is proposed to improve the resolution of moving objects and we derive from this a super-resolution method for the scene background.
super-resolution mosaicing local blur estimation/restoration