Abstract: In this paper, a method for multi-frame superresolution is proposed. It exploits the values of the recovery errors at the
point of each frame to form the resulting high-resolution image. The method combines the results of many years of author's research
in the field of image and video processing. The proposed method aims to apply to forensic tasks of video analysis. The method
improves the visual quality of a flat local object located close to the center of the frame. The method consists of three stages. The first
stage is the procedure of optimal super-resolution recovery of each frame with the use of the continuous-discrete observation model.
During this stage, the recovery errors are stored in an additional image channel. The second stage is the frames registration. A
geometric transformation is also applied to the additional channel during this stage. The final stage is the weighted optimal fusing.
The advantages of the proposed method are the estimation of the error of the restored image at each point and taking into account the
image degradations in the continuous domain. Experimental research of the reconstruction error of the method was carried out. The
results were compared with the case that does not use the novel features of the proposed method - averaging fusing of linear
interpolated frames. Linear interpolation was chosen as it also fits into the filtering model of image recovery of the method's first
stage. The obtained results show that the proposed method outperforms the other one.
Index terms: digital images, continuous-discrete observation model, optimal image restoration, image registration, image fusing, multi-frame image super-resolution.