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Wavelet Transform in Image Processing : Denoising, Segmentation and Compression of Digital Images


Palwinder Singh
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Wavelet transform is a one of the most powerful concept used in image processing. Wavelet transform can divide a given function into different scale components and can find out frequency information without losing temporal information. Wavelet Transform is more suitable technique as compared to fourier transform because it is not possible with fourier transform to observe varying frequencies with time. Image processing is simply a processing of images or digital images in which processing is a collection of number of steps like denoising, segmentation, compression, representation and recognition. This paper will introduce basic concept of wavelet transform and use of wavelet transform in image denoising, image segmentation and image compression.

Palwinder Singh

Wavelet Transform, Multiresolution, Compression, Denoising

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
1137-1140 IJSRSET1622403   Technoscience Academy

Cite This Article

Palwinder Singh, "Wavelet Transform in Image Processing : Denoising, Segmentation and Compression of Digital Images", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1137-1140, March-April-2016.
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