Multidimensional Image Compression through Discrete Wavelet Transform in Matlab using Daubechies Wavelet | Zendy

Nazir Jan | Zendy; N. Nasruminallah | Zendy; R. Rehmatullah | Zendy

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Multidimensional Image Compression through Discrete Wavelet Transform in Matlab using Daubechies Wavelet

Author(s) -

Nazir Jan,

N. Nasruminallah,

R. Rehmatullah

Publication year - 2019

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2019918778

Subject(s) - computer science , wavelet , discrete wavelet transform , matlab , wavelet transform , daubechies wavelet , compression (physics) , image compression , artificial intelligence , lifting scheme , second generation wavelet transform , image (mathematics) , pattern recognition (psychology) , image processing , materials science , composite material , operating system

This research paper unveils the most powerful and latest tool for image compression; called Wavelet Transform (WT).WT avoids the blocking artifact of conventional DCT Transform. Fourier Transform is the famous transform but this transform always lost time information and preserves only frequency information. Wavelet Transform reserves the information of both time and frequency domains. WT is based on Function approximation or mathematical polynomials instead of blocks like DCT. Matlab simulations, in this research paper, shows much satisfying results and excellent compression ratio when applied on a multidimensional image using multiband Wavelet transform. Daubechies wavelet has been selected in the proposed research paper as analyzing signal.

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