Image Reconstruction with Improved Super-Resolution Algorithm
Resource
International Journal of Pattern Recognition and Artificial Intelligence 18 (8): 1513-1527
Journal
International Journal of Pattern Recognition and Artificial Intelligence
Journal Volume
18
Journal Issue
8
Pages
1513-1527
Date Issued
2004
Date
2004
Author(s)
Abstract
In this paper we propose a technique that reconstructs high-resolution images with improved super-resolution algorithms, based on Irani and Peleg iterative method, and employs our suggested initial interpolation, robust image registration, automatic image selection and image enhancement post-processing. When the target of reconstruction is a moving object with respect to a stationary camera, high-resolution images can still be reconstructed, whereas previous systems only work well when we move the camera and the displacement of the whole scene is the same.
SDGs
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
37.pdf
Size
807.12 KB
Format
Adobe PDF
Checksum
(MD5):89cf6a21e9dcb9d4979c10ba18bf798d
