A new approach for anti-aliasing raster data in air borne imagery

Fahim Arif; Muhammad Akbar

doi:10.1117/12.626787

13 October 2005 A new approach for anti-aliasing raster data in air borne imagery

Fahim Arif, Muhammad Akbar

Proceedings Volume 5969, Photonic Applications in Biosensing and Imaging; 59692L (2005) https://doi.org/10.1117/12.626787
Event: Photonics North, 2005, Toronto, Canada

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.

Citation Download Citation

Fahim Arif and Muhammad Akbar "A new approach for anti-aliasing raster data in air borne imagery", Proc. SPIE 5969, Photonic Applications in Biosensing and Imaging, 59692L (13 October 2005); https://doi.org/10.1117/12.626787

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