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All Journal Journal Of Informatics And Busisnes
Anita Yulistia
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Computer Science & IT Economics, Econometrics & Finance

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Evaluasi Kinerja Filter High-Pass Dan Low-Pass Pada Citra Beresolusi Tinggi Menggunakan Matlab Anita Yulistia; Gita Aulia; Harun Al Rasyid; Mhd Murini Ramadhani; Nabila Intan Zahrani; Supiyandi
Journal Of Informatics And Busisnes Vol. 2 No. 2 (2024): Juli - September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i2.1224

Abstract

This study aims to evaluate the performance of high-pass and low-pass filters on high-resolution images using MATLAB software. High-pass and low-pass filters are two basic techniques in image processing that have different functions. A high-pass filter is used to accentuate details and edges in an image, while a low-pass filter is used to smooth the image and reduce noise. This research covers the application of both types of filters on various high-resolution images, as well as the analysis of filter performance based on image quality metrics such as Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE). The results show that the high-pass filter is effective in preserving edge details, but increases the noise level. In contrast, low-pass filters are effective in reducing noise, but may cause the loss of some important details in the image.
Co-Authors Gita Aulia Harun Al Rasyid Mhd Murini Ramadhani Nabila Intan Zahrani Supiyandi Supiyandi