Title :
A New Approach for Anti-aliasing Raster Data in Air Borne Imagery
Author :
Arif, Fahim ; Akbar, Muhammad
Author_Institution :
Computer Science Department, Military College of Signals National University of Science and Technology Rawalpindi fahim-mcs@nust.edu.pk
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 remotely sensed images. The technique uses Gaussian low pass filter (GLPF) for generation of slight blur. Then resampling of raster data is performed with the help of bilinear interpolation. Algorithm is developed in MATLAB using some inbuilt functions.
Keywords :
Computer errors; Computer graphics; Displays; Frequency; Image converters; Image resolution; Image sampling; Layout; Rendering (computer graphics); Sampling methods;
Conference_Titel :
Information and Communication Technologies, 2005. ICICT 2005. First International Conference on
Print_ISBN :
0-7803-9421-6
DOI :
10.1109/ICICT.2005.1598557
