… Many well-known algorithms in signal processing and image reconstruction are iterative in
… efforts in medical imaging. The purpose of this paper is to give a unified treatment of several …

… These are the nonlinear reconstruction of a scalar static measurand in the presence of a
scalar influence quantity, and the linear reconstruction of a scalar dynamic measurand. …

… Overview of our GDP for unified image recovery. (a) Given a corrupted image y during …
Hdr-gan: Hdr image reconstruction from multi-exposed ldr images with large motions. IEEE …

… , influence the general area of image reconstruction, cutting across modalities. In general,
this contribution looks at progress in medical image reconstruction methods with focus on the …

… In this article, we present a final reconstruction step for a novel unified approach to global …
novel final reconstruction step for the unified algorithm which computes a single image in a …

… 1.3 Image Reconstruction In this section, we illustrate the common image reconstruction
strategy by considering a point source. Let us consider an empty two-dimensional (2D) plane …

… We compare the results to RED-2, by treating the whole set of frames jointly, reconstructing
a whole SR video, and then taking only the first from the outcome. For both competing …

… image restoration problem and then to image reconstruction … For the image reconstruction
problem we consider the simulated … 40-45 min CPU time to reconstruct the images of Fig 6' and …

… h this paper, we propose a new approach to statistically optimal image reconstruction based
on direct optimization of the MAP criterion. The key to this direct optimization approach is …

… a unified framework that … reconstruct the background layer image using an inpainting
technique and then extract the foreground reflectance image based on the notion of intrinsic images…