PENGEMBANGAN ALGORITMA DENOISING DENGAN KONSEP DEEP BACK-PROJECTION

  • Muhammad Haris Universitas Nusa Mandiri
  • Eni Heni Hermaliana
  • Sri Rahayu
  • Dwiza Riana
DOI: https://doi.org/10.25124/jett.v9i1.4984

Abstract

Penelitian ini mengangkat salah satu permasalahan umum pada citra digital, terutama pada smartphone, yaitu noise yang disebabkan oleh kecilnya aperture dan ukuran sensor pada kamera digital. Untuk menyelesaikan permasalahan tersebut, peneliti mengembangkan metode denoising untuk mentransformasi citra kotor menjadi citra bersih. Terinspirasi dari konsep deep back-projection, penelitian ini melakukan modifikasi terhadap implementasi asli deep back-projection, menggunakan down-projection layer sebagai tahapan untuk menghilangkan noise dengan intuisi menggunakan bahwa proses down-sampling mampu menghilangkan noise pada input citra. Lalu citra kembali diperbesar sesuai ukuran aslinya. Pada eksperimen yang dilakukan, penelitian ini membuktikan bahwa teknik yang diajukan mampu memperoleh hasil terbaik dibandingkan metode lainnya pada dataset SIDD. Hasil eksperimen memperlihatkan peningkatan kualitas sebesar 6 dB dibandingan model lainnya.

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Published
2022-07-27
How to Cite
HARIS, Muhammad et al. PENGEMBANGAN ALGORITMA DENOISING DENGAN KONSEP DEEP BACK-PROJECTION. Jurnal Elektro dan Telekomunikasi Terapan (e-Journal), [S.l.], v. 9, n. 1, p. 1145 - 1151, july 2022. ISSN 2442-4404. Available at: <//journals.telkomuniversity.ac.id/jett/article/view/4984>. Date accessed: 19 apr. 2024. doi: https://doi.org/10.25124/jett.v9i1.4984.
Citation Formats
Issue
Vol 9 No 1 (2022): JETT Juli 2022
Section
MULTIMEDIA
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