An application of the least squares plane fitting interpolation process to image reconstruction and enhancement

Paper

Scarmana, Gabriel. 2016. "An application of the least squares plane fitting interpolation process to image reconstruction and enhancement." 78th FIG Working Week 2016: Recovering from Disaster. Christchurch, New Zealand 02 - 06 May 2016 Copenhagen, denmark.
Paper/Presentation Title

An application of the least squares plane fitting interpolation process to image reconstruction and enhancement

Presentation TypePaper
Authors
AuthorScarmana, Gabriel
Journal or Proceedings TitleProceedings of the 78th FIG Working Week 2016: Recovering from Disaster
Number of Pages11
Year2016
Place of PublicationCopenhagen, denmark
ISBN9788792853523
Web Address (URL) of Paperhttp://www.fig.net/resources/proceedings/fig_proceedings/fig2016/papers/ts04d/TS04D_scarmana_8433.pdf
Conference/Event78th FIG Working Week 2016: Recovering from Disaster
Event Details
78th FIG Working Week 2016: Recovering from Disaster
Parent
FIG Working Week
Event Date
02 to end of 06 May 2016
Event Location
Christchurch, New Zealand
Abstract

This work applies a least squares plane fitting (LSP) method as an alternative way of interpolating irregularly spaced pixel intensity values that are suitable for image reconstruction of a static scene via super-resolution (SR). SR is a term used within the computer vision and image processing community to describe the process of reconstructing a high resolution image from a sequence of several shifted images covering the same scene.
 
The accuracy attainable by this process is estimated via tests where the simulation parameters are controlled and where the reconstructed high resolution image can be compared with its original. In these tests the original image is scanned randomly so as to create a sequence of low-resolution and JPEG compressed shifted images. The comparison is based on the r.m.s.e. of the differences between the reconstructed image and the original.

Keywordsimage enhancement, interpolation, least squares, plane fitting
ANZSRC Field of Research 2020400607. Signal processing
499999. Other mathematical sciences not elsewhere classified
401302. Geospatial information systems and geospatial data modelling
401304. Photogrammetry and remote sensing
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsSchool of Civil Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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