Warped discrete fourier transform and it's application on image compression
52 p.
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2010
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sg-ntu-dr.10356-390932023-07-04T16:01:34Z Warped discrete fourier transform and it's application on image compression Hosahalli Siddaiah Manjunath. Anamitra Makur School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems 52 p. Digital Transforms in Digital Signal Processing play an important role in analysis and design of discrete-time signals and systems. The popular transforms in today's use are Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), and Karhunen Loeve Transform (KLT). We extended the DFT concept to Warped DFT (WDFT), which is nothing but the non-uniform sampling of z-transform on the unit circle. In this thesis we discussed forward WDFT, inverse WDFT and its computing methods for less reconstruction error, and developed a lossy image compression algorithm using adaptive WDFT transforms. Master of Science (Signal Processing) 2010-05-21T04:43:03Z 2010-05-21T04:43:03Z 2006 2006 Thesis http://hdl.handle.net/10356/39093 application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Hosahalli Siddaiah Manjunath. Warped discrete fourier transform and it's application on image compression |
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52 p. |
author2 |
Anamitra Makur |
author_facet |
Anamitra Makur Hosahalli Siddaiah Manjunath. |
format |
Theses and Dissertations |
author |
Hosahalli Siddaiah Manjunath. |
author_sort |
Hosahalli Siddaiah Manjunath. |
title |
Warped discrete fourier transform and it's application on image compression |
title_short |
Warped discrete fourier transform and it's application on image compression |
title_full |
Warped discrete fourier transform and it's application on image compression |
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Warped discrete fourier transform and it's application on image compression |
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Warped discrete fourier transform and it's application on image compression |
title_sort |
warped discrete fourier transform and it's application on image compression |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/39093 |
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1772827352166825984 |