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Comparative Study of Denoising Methods for Satellite Image Restoration Using Matlab

Author(s): Ganesan P | Dr V.Rajini

Journal: International Journal of Advanced Research in Computer Science
ISSN 0976-5697

Volume: 04;
Issue: 05;
Start page: 74;
Date: 2013;
Original page

Keywords: satellite | image | noise | denoising | filtering | wavelet | transform

In image processing, noise can be defined as unwanted random variation of brightness in gray scale images or color information in color images. In most of the image processing applications, the noise pixels are incorporated with the image pixels and it becomes very difficult task to retrieve the useful image pixels or information from the noisy images. The quality of the image is certainly degraded and unable to further processing of the noisy images. Moreover the result obtained from the noisy images may be undesirable and unexpected one. So excellent image denoising method is necessary to remove the unwanted noisy pixels and retain and manipulate the image pixels. In this paper, we compared and simulate the various denoising methods based on filtering and wavelet transform approach for satellite images. All the denoising methods have been tested with different size and resolution the satellite images.
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