The Digital Image Compression Using Wavelet Daubechies Transform

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Meldry W Maitimu
Francis Y Rumlawang
Meilin I Tilukay
Harmanus Batkunde

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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How to Cite
[1]
M. Maitimu, F. Rumlawang, M. Tilukay, and H. Batkunde, “The Digital Image Compression Using Wavelet Daubechies Transform”, Tensor, vol. 5, no. 1, pp. 27-32, Jun. 2024.
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