Manuscript Number : IJSRSET1622403
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.
Palwinder Singh
Wavelet Transform, Multiresolution, Compression, Denoising
Publication Details
Published in :
Volume 2 | Issue 2 | March-April 2016 Article Preview
Department of Computer Science, GNDU, Amritsar, Punjab, India
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
Journal URL :
https://ijsrset.com/IJSRSET1622403