Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1536413 | Optics Communications | 2012 | 4 Pages |
Abstract
An adaptive image interpolation approach is proposed in this paper. The proposed approach imposes a regularization on the reconstructed high-resolution image to suppress the noise and blurring incurred in the observed low-resolution image. Furthermore, the proposed regularization scheme is steered by the local gradient information of the image, which is evaluated using a probabilistic measure. Experiments are conducted to demonstrate the superior performance of the proposed approach.
Related Topics
Physical Sciences and Engineering
Materials Science
Electronic, Optical and Magnetic Materials
Authors
Zhenyu Liu,