Adaptive Regularization for Multiframes Resolution Restoration Considering Subpixel Contributions
M. Zibetti, J. Mayer
Evento: XX Simpósio Brasileiro de Telecomunicações (SBrT2003)
Keywords: resolution restoration interpolation adaptive regularization multiframe restoration subpixel displacement
AbstractIn this work we propose an adaptive spatial resolution restoration algorithm for sequence of images. The Regularized Least-Squares (RLS) algorithm is modified to include an adaptive regularization that considers the subpixel contribution of each frame. This regularization is used to mitigate the distortions caused by the sub-sampling process. The contribution from additional frames is exploited according to its subpixel displacements. The pixels amplitudes from other frames, displaced by subpixel distances, provide the information to minimize sub-sampling distortions. The information about the displacements is used to control the adaptation. The regularization adapts in both ways: spatial and directional. In the motion estimation step only the reliable displacement vectors are chosen for the restoration process. The proposed model significantly improves the objective (SNR) and the subjective (visual) image quality.