Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal MATHunesa: Jurnal Ilmiah Matematika
Hasnah Aulia Zahra
Unknown Affiliation
Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PERBANDINGAN TRANSFORMASI WAVELET DISKRIT DAN TRANSFORMASI WAVELET STASIONER UNTUK DENOISING CITRA Ahmad Khairul Umam; Irma Wulandari; Agung Teguh Setyadi; Hasnah Aulia Zahra; Khansa Nadhif Shafa
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 2 (2025)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Co-Authors Agung Teguh Setyadi Irma Wulandari Khansa Nadhif Shafa