Share Email Print
cover

Proceedings Paper

Image fusion and enhancement using triangulated irregular networks
Author(s): G. Scarmana
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

A triangulated irregular network (TIN) is a viable structure for vector representation of raster image data. To visualize the image characterized by triangulation, it is required to fit a continuous surface of pixel brightness values in the triangulation (i.e. to interpolate data stored in its vertices). From this perspective, this paper presents a multi-frame image fusion and enhancement process that employs TIN structures rather than arrays of pixels as the original working units. The feasibility of this application relates to the fact that a TIN model offers a good quality digital image representation with a reduced density of pixel values as compared to a corresponding raster representation [4]. In the proposed process several low-resolution unregistered and compressed images (such as those extracted from a video footage) of a common scene are: (a) registered to a sub-pixel level (b) transformed to a TIN structure, (c) grouped or mapped globally within a singular framework to create a denser TIN composite, and (d) the TIN representation is used in reverse to reconstruct a higher resolution image in raster format with more details than any of the original input frames. Tests and subsequent results are shown to demonstrate the validity and accuracy of the proposed multi-frame image enhancement process. A comparison of this process of multi-frame image enhancement using various interpolation methods and practices is included.

Paper Details

Date Published: 26 June 2017
PDF: 7 pages
Proc. SPIE 10332, Videometrics, Range Imaging, and Applications XIV, 103320V (26 June 2017); doi: 10.1117/12.2279443
Show Author Affiliations
G. Scarmana, Univ. of Southern Queensland (Australia)


Published in SPIE Proceedings Vol. 10332:
Videometrics, Range Imaging, and Applications XIV
Fabio Remondino; Mark R. Shortis, Editor(s)

© SPIE. Terms of Use
Back to Top