Document Type
Conference Proceeding
Publication Date
10-22-2018
Publication Title
2018 IEEE International Conference on Electro/Information Technology (EIT)
Abstract
This work was intended to direct the choice of an image interpolation/zoom algorithm for use in UND’s Open Prototype for Educational Nanosats (OPEN) satellite program. Whether intended for a space-borne platform or a balloon-borne platform, we expect to use a low cost camera (Raspberry Pi) and expect to have very limited bandwidth for image transmission. However, the technique developed could be used for any imaging application. The approach developed analyzes overlapping 3x3 blocks of pixels looking for “L” patterns that suggest the center pixel should be changed such that a triangle pattern results. We compare this approach against different types of single-frame image interpolation algorithms, such as zero-order-hold (ZOH), bilinear, bicubic, and the directional cubic convolution interpolation (DCCI) approach. We use the peak signal-to-noise ratio (PSNR) and mean squared error (MSE) as the primary means of comparison. In all but one of the test cases the proposed method resulted in a lower MSE and higher PSNR than the other methods. Meaning this method results in a more accurate image after zooming than the other methods.
First Page
69
Last Page
72
DOI
10.1109/EIT.2018.8500290
ISSN
2154-0373
Rights
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Recommended Citation
Ronald Marsh, Md Nurul Amin, Charles Crandall, et al.. "Image Zooming using Corner Matching" (2018). Computer Science Faculty Publications. 20.
https://commons.und.edu/cs-fac/20