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Proceedings Paper

A new approach for anti-aliasing raster data in air borne imagery
Author(s): Fahim Arif; Muhammad Akbar
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Paper Abstract

Air borne sensed data is in the form of raster data. Aliasing is always present in a sampled image causing artifact error. To reduce possible aliasing effects, it is a good idea to blur an image slightly before applying a resampling method on it. This paper presents a technique for anti-aliasing air borne sensed images. The technique uses Gaussian low pass filter (GLPF) for generation of slight blur and reduction of high frequency components. Then resampling of raster data is performed with the help of bilinear interpolation. Algorithm is developed in MATLAB using some inbuilt functions. The method is applied on different types of images, and their frequency spectrum and histogram analysis is carried out.

Paper Details

Date Published: 14 October 2005
PDF: 9 pages
Proc. SPIE 5969, Photonic Applications in Biosensing and Imaging, 59692L (14 October 2005); doi: 10.1117/12.626787
Show Author Affiliations
Fahim Arif, National Univ. of Science and Technology (Pakistan)
Muhammad Akbar, National Univ. of Science and Technology (Pakistan)

Published in SPIE Proceedings Vol. 5969:
Photonic Applications in Biosensing and Imaging
Brian C. Wilson; Richard I. Hornsey; Warren C. W. Chan; Ulrich J. Krull; Robert A. Weersink; Kui Yu, Editor(s)

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