Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration
In this paper, we propose a high-resolution image reconstruction algorithm considering inaccurate subpixel registration. A regularized iterative reconstruction algorithm is adopted to overcome the ill-posedness problem resulting from inaccurate subpixel registration. In particular, we use multichannel image reconstruction algorithms suitable for applications with multiframe environments. Since the registration error in each low-resolution image has a different pattern, the regularization parameter automatically. The noise, and they do not require any prior information about the needed to determine the regularization parameter and to reconstruct the image is updated at each iteration step based on the indicate that the proposed algorithms outperform conventional approaches in terms of objective measurements and visual evaluation.
regularization high-resolution image reconstruction multichannel registration error deconvolution