MATHunesa: Jurnal Ilmiah Matematika
Vol. 13 No. 2 (2025)

PERBANDINGAN TRANSFORMASI WAVELET DISKRIT DAN TRANSFORMASI WAVELET STASIONER UNTUK DENOISING CITRA

Ahmad Khairul Umam (Unknown)
Irma Wulandari (Unknown)
Agung Teguh Setyadi (Unknown)
Hasnah Aulia Zahra (Unknown)
Khansa Nadhif Shafa (Unknown)

Article Info

Publish Date
31 Aug 2025

Abstract

The wavelet transform is an improvement of the Fourier transform. Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT) are part of the wavelet transform. DWT and SWT can be used to reduce noise in images. In this research, DWT and SWT methods are compared for image denoising process. The PSNR value and computation time for level 1 and 2 wavelets are compared. A grayscale test image of Lena and the cat measuring 512×512 pixels are used. We use Haar, Daubechies, biorthogonal, symlets, and coiflets wavelets. From this research results, the highest PSNR value is for the SWT method. As for the fastest computation time, it is all for DWT method.

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Journal Info
MATHunesa: Jurnal Ilmiah Matematika
Website

Abbrev

mathunesa

Publisher

Universitas Negeri Surabaya

Subject

Mathematics

Description

MATHunesa is a mathematical scientific journal published by the Department of Mathematics, Faculty of Mathematics and Natural Sciences, The State University of Surabaya with e-ISSN 2716-506X and p-ISSN 2301-9115. This journal is published every four months in April, August, and December. One volume ...