The observation model plays a key role in performance improvement of the super resolution algorithms.The author proposed a weight-matrix based blind super resolution algorithm:a new observation model based on a motion compensate matrix and a weight-matrix is defined first

then the high resolution image and the weight matrix were joint estimated by alter minimization method under the framework of Maximum A Prior(MAP).Evaluated by both still and active image sequences

the algorithm can descript the degrading process of the observed low resolution images more accurately.It shows obvious performance improvement compared with the traditional super resolution algorithm.For several cases

it has even exceeded the results when the observation model is known.