Image Denoising using SWT 2D Wavelet Transform
Author(s):
Deep Singh Bedi , Guru Nanak Dev University, Amritsar; Pawandeep Kaur, Gurur Nanak Dev University
Keywords:
Discrete wavelet transform, Image denoising, Wavelet transform, Peak signal to noise ratio, Sea level
Abstract:
Images undergo deterioration in quality when processed by some means. The Signal strength drops when it undergoes a series of operations. The main deciding factor for this degradation therefore depends on the signal to noise ratio of the processed image with respect to the unprocessed image that is how much loss in the quality of the processed image or how much intervention of noise occurs during processing. Using the SWT 2D denoising technique we compensate for such noise distortions using MATLAB as a platform. The proposed algorithm exhibits promising results from quantitatively and qualitatively points of view.
Other Details:
Manuscript Id | : | IJSTEV3I1038
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Published in | : | Volume : 3, Issue : 1
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Publication Date | : | 01/08/2016
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Page(s) | : | 90-95
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