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

Authors(1) :-Palwinder Singh

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.

Authors and Affiliations

Palwinder Singh
Department of Computer Science, GNDU, Amritsar, Punjab, India

Wavelet Transform, Multiresolution, Compression, Denoising

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2016
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1137-1140
Manuscript Number : IJSRSET1622403
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1622403

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