Multi-frame Image Super Resolution Based on Multi-homography Alignment
Date Issued
2015
Date
2015
Author(s)
Pan, Kuan-Lun
Abstract
Multi-frame image super resolution aims to produce one high resolution image from a set of observed low resolution images. One of key components to the success of super resolution algorithm is an accurate alignment between observed images. In this paper, we first show that two popular alignment methods—optical flow and homography alignment—have their own flaws and fail to produce good super resolution results in different cases. We propose a novel alignment method called multi-homography alignment for super resolution. This method is an extension of the homography alignment. In origin homography alignment, only a single homography is extracted from images. However, we extract multiple homographies from images in our alignment method and label each pixel to a proper homography to warp and refine the result. We show this method produces good super resolution results in previous cases that homography or optical flow cannot perform well and it is more efficient both in time and memory than optical flow. Finally, we point out that our alignment method is also very suitable for multiple times small region super resolution in large images.
Subjects
super resolution
alignment
homography
optical flow
small region
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-104-R02944017-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):989c8626dbb3bf097ef33075924d0bf2