Tensor: Pure and Applied Mathematics Journal
Vol 5 No 1 (2024): Tensor: Pure and Applied Mathematics Journal

The Digital Image Compression Using Wavelet Daubechies Transform

Maitimu, Meldry W (Unknown)
Rumlawang, Francis Y (Unknown)
Tilukay, Meilin I (Unknown)
Batkunde, Harmanus (Unknown)

Article Info

Publish Date
13 Jun 2024

Abstract

As a form of data representation, the obstacle faced when using digital images is the large volume of data required to represent the image. For that we need a technique that can reduce the volume of data, this thechnique is called compression. In this thesis, a very well-known wavelet transform method is chosen, namely Daubechies D4 wavelet transform, with four coefficients of scaling function, and four coefficients of wavelet function. Then implemented with MATLAB 2021 software as a programming tool to see the effect of quality on the transformed image.

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Journal Info
Tensor: Pure and Applied Mathematics Journal
Website

Abbrev

tensor

Publisher

Universitas Pattimura

Subject

Computer Science & IT Mathematics

Description

Tensor: Pure and Applied Mathematics Journal is an international academic open access journal that gains a foothold in the field of mathematics and its applications which is issued twice a year. The focus is to publish original research and review articles on all aspects of both pure and applied ...