Evaluasi Kinerja Filter High-Pass Dan Low-Pass Pada Citra Beresolusi Tinggi Menggunakan Matlab

Authors

  • Anita Yulistia Universitas Islam Negeri Sumatera Utara
  • Gita Aulia Universitas Islam Negeri Sumatera Utara
  • Harun Al Rasyid Universitas Islam Negeri Sumatera Utara
  • Mhd Murini Ramadhani Universitas Islam Negeri Sumatera Utara
  • Nabila Intan Zahrani Universitas Islam Negeri Sumatera Utara
  • Supiyandi Program Studi Teknologi Informasi Universitas Pembangunan Panca Budi Medan

Keywords:

High-pass filter, low-pass filter, high-resolution image, MATLAB, image processing, PSNR, MSE

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.

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Published

2024-07-07