The week's pick
Reseach Article
A Comparative Study on Noise Removal of Compound Images using Different Types of Filters
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 47 - Number 14 |
| Year of Publication: 2012 |
| Authors: Zinat Afrose |
10.5120/7260-0398
|
Zinat Afrose . A Comparative Study on Noise Removal of Compound Images using Different Types of Filters. International Journal of Computer Applications. 47, 14 ( June 2012), 45-48. DOI=10.5120/7260-0398
Abstract
With the advances of information technology, many techniques have been discovered to represent data. A large amount of data is commonly represented by an image. Accuracy of this data representation by an image is another important task in image processing. 'Representation of data via a compound image' is becoming most popular day by day. So, noise removal is necessary to maintain the quality of the compound images. Noise can be added to the compound images during image acquisition, image capturing or image transmission. Different literature study shows that many filtering techniques are presented to remove noise or improve the quality of the corrupted images. This paper deals with the performance study of Median, Relaxed median, Wiener, Centre weighted median and Averaging filters to remove Salt and pepper, Gaussian and Speckle noise in the compound images. This paper proposes relaxed median filter performs better for compound images.
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