Superresolution reconstruction using nonlinear gradient-based regularization |
| |
Authors: | Xin Zhang Edmund Y Lam |
| |
Affiliation: | (1) Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Kowloon, Hong Kong |
| |
Abstract: | This paper discusses the problem of superresolution reconstruction. To preserve edges accurately and efficiently in the reconstruction,
we propose a nonlinear gradient-based regularization that uses the gradient vector field of a preliminary high resolution
image to configure a regularization matrix and compute the regularization parameters. Compared with other existing methods,
it not only enhances the spatial resolution of the resulting images, but can also preserve edges and smooth noise to a greater
extent. The advantages are shown in simulations and experiments with synthetic and real images.
|
| |
Keywords: | Superresolution Inverse problem Image reconstruction |
本文献已被 SpringerLink 等数据库收录! |
|