Image Denoising Based On Wavelet for Satellite Imagery: A Review
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 4
Abstract
In this paper studied the use of wavelet and their family to denoising images. Satellite images are extensively used in the field of RS and GIS for land possession, mapping use for planning and decision support. As of many Satellite image having common problem i.e. noise which hold unwanted information in an images. Different types of noise are addressing different techniques to denoising remotely sense images. Noise within the remote sensing images identifying and denoising them is big challenge before the researcher. Therefore we review wavelet for denoising of the remote sensing images. Thus implementing wavelet is essential to get much higher quality denoising image. However, they are usually too computationally demanding. In order to reduce the computational cost, we need to develop an efficient filter by using the wavelet for denoising the images.
Authors and Affiliations
Bhosale Narayan P1 , Ramesh R. Manza2 , K. V. Kale3
Keywords
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