Prediction of Interpolants in Subsampled Radargram Slices

E. G. Rajan; Dr. M Shankar Lingam; T. Kishan Rao

Title:
Prediction of Interpolants in Subsampled Radargram Slices

Authors:
T. Kishan Rao | E. G. Rajan | Dr. M Shankar Lingam

Cite This Article :

T. Kishan Rao | E. G. Rajan | Dr. M Shankar Lingam "Prediction of Interpolants in Subsampled Radargram Slices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1, December 2020, pp.1402-1414, URL: https://www.ijtsrd.com/papers/ijtsrd38207.pdf

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Abstract :
This paper provides an algorithmic procedure to predict interpolants of subsampled images. Given a digital image, one can subsample it by forcing pixel values in the alternate columns and rows to zero. Thus, the size of the subsampled image is reduced to half of the size of the original image. This means 75% of the information in the original image is lost in the subsampled image. The question that arises here is whether it is possible to predict these lost pixel values, which are called interpolants so that the reconstructed image is in accordance with the original image. In this paper, two novel interpolant prediction techniques, which are reliable and computationally efficient, are discussed. They are (i) interpolant prediction using neighborhood pixel value averaging and (ii) interpolant prediction using extended morphological filtering.

Keywords :
Ground Penetrating Radar, Subsurface Imaging, Targeted Buried Object Detection, Interpolant Prediction

Publication Details:

Unique Identification Number : IJTSRD38207

Published In : Volume-5 | Issue-1, December 2020

Page Number(s) : 1402-1414

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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