PRECONDITIONERS FOR REGULARIZED IMAGE SUPERRESOLUTION. Nhat Nguyen and Gene ... Superresolution reconstruction produces a high resolution image from a set of low ...

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work. Our research philosophy.

In this paper, we study the problem of reconstructing a high-resolution image from multiple undersampled, shifted, degraded frames with subpixel ...

We propose efficient block circulant preconditioners for solving the Tikhonov-regularized superresolution problem by the conjugate gradient method.

Effectiveness of our preconditioners and regularization techniques is demonstrated ... regularized superresolution. However, to a large degree, com ...

Our technique involves reordering the high-resolution (HR) pixels in a similar manner to what is done in preconditioning methods for quadratic SR formulations.

The first part of this thesis considers a range of inverse problems. Inverse problems in low-level computer vision are almost always ill-posed.

Golub, “Preconditioners for Regularized Image Superresolution”, Proceedings of IEEE ICASSP, March 15-19, 1999, Phoenix, Arizona. P. Milanfar, “Motion From ...

This work proposes efficient block circulant preconditioners for solving the Tikhonov-regularized superresolution problem by the conjugate gradient method ...

Sep 19, 2006 · Abstract. The main aim of this paper is to employ the total variation (TV) inpainting model to superresolution imaging problems.