Abstrakt

Improving Quality of Satellite Image by Wavelet Transforming & Morphological Filte ring

Anumolu Lasmika , K. Raveendra

In research and investigations satellite images become more popularity to getting data to accomplish their needs. While getting this data some disturbances are getting along with this that is nothing but poor image quality. To overcome this we present DWT to decompose the input image into different sub bands with powerful theoretical tool to analyse the nonlinear image. Identifying the areas of the edges through threshold decomposition and edges are sharpened by using morphological filters. By this we are improving the better quality of image.

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Academic Keys
ResearchBible
CiteFactor
Kosmos IF
RefSeek
Hamdard-Universität
Weltkatalog wissenschaftlicher Zeitschriften
Gelehrter
International Innovative Journal Impact Factor (IIJIF)
Internationales Institut für organisierte Forschung (I2OR)
Kosmos

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