Super-resolution for the reconstruction of video sequence, a dynamic adaptive filter. The maximum a posteriori probability estimation and weighted least squares, based on the super-resolution reconstruction of video sequence is given mathematical model in-depth study of the motion compensation matrix and weighted matrix composition and properties detailed derivation of the adaptive filter recurrence formula analysis of algorithms for the storage and computational complexity. Simulation results show that reconstruction of the algorithm very effective, compared to bicubic interpolation and non- Iterative reconstruction of single-frame motion compensation, allowed a certain PSNR gain and Elad filtering method, the calculation has a smaller volume and greater adaptability and robustness.

基于自适应滤波的视频序列超分辨率重建.pdf

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