Penajaman Kualitas Citra Digital Menggunakan Histogram Equalization

Herdy Kurnia, Taufik Hidayat

Abstract


CCTV (Closed-circuit Television) is a surveillance camera that is installed on roads and in various rooms around the world with the aim of reducing crime and increasing public safety. Often, the image quality of CCTV has poor results, one of the causes is noise. This condition causes the information contained is sometimes not well conveyed. Image enhancement is a part of image processing which has the aim of improving image quality by manipulating image parameters. The application of this research is to sharpen the quality of screen capture on CCTV. The method applied is histogram equalization which can improve image quality. Histogram equalization method will be applied using Google Colab because its use has good portability.


Keywords


Screen Capture CCTV, Histogram Equalization, Image, Google Colab

Full Text:

PDF

References


O. D. Nurhayati and D. Eridani, “Ekualisasi Histogram untuk Peningkatan Kualitas Citra Telur Ayam secara Otomatis,” J. Sist. Komput. -JSK, vol. 7, no. 2, pp. 69–74, 2017.

R. R. Basir, “Segmentasi Citra Dengan Histogram Thresholding Menggunakan Analisis Cluster Hirarkis,” Jupiter J. Comput. Inf. Technol., vol. 1, pp. 8–17, 2020, [Online]. Available: https://jurnal.ibm.ac.id/index.php/jupiter/article/view/78

M. Agarwal and R. Mahajan, “Medical Image Contrast Enhancement using Range Limited Weighted Histogram Equalization,” Procedia Comput. Sci., vol. 125, no. 2017, pp. 149–156, 2018, doi: 10.1016/j.procs.2017.12.021.

K. H. Almotairi, “A Global Two-Stage Histogram Equalization Method for Gray-Level Images,” J. ICT Res. Appl., vol. 14, no. 2, pp. 95–114, 2020, doi: 10.5614/itbj.ict.res.appl.2020.14.2.1.

M. Zohaib, A. Shan, A. U. Rahman, and H. Ali, “Image Enhancement by using Histogram Equalization Technique in Matlab,” Int. J. Adv. Res. Comput. Eng. Technol., vol. 7, no. 2, pp. 2278–1323, 2018.

S. Fatimatuzzahro and V. Yuliantari, “Peningkatan Kualitas Citra pada Foto Sejarah Menggunakan Metode Histogram Equalization dan Intensity Adjustment,” J. Appl. Electr. Eng., vol. 5(2), pp. 36–42, 2021, doi: 10.30871/jaee.v5i2.3160.

J. Hidayat and A. Faisal, “Perbandingan Metode Perbaikan Kualitas Citra Berbasis Histogram Equalization Pada Citra Satelit,” vol. 4, no. 3, 2019.

J. Jumadi, Y. Yupianti, and D. Sartika, “Pengolahan Citra Digital Untuk Identifikasi Objek Menggunakan Metode Hierarchical Agglomerative Clustering,” JST (Jurnal Sains dan Teknol., vol. 10, no. 2, pp. 148–156, 2021, doi: 10.23887/jstundiksha.v10i2.33636.

G. Winarno, M. Irsal, C. A. Karenina, G. Sari, and R. N. Hidayati, “Metode Histogram Equalization untuk Peningkatan Kualitas Citra dengan Menggunakan Studi Phantom Lumbosacral,” J. Kesehat. Vokasional, vol. 7, no. 2, p. 104, 2022, doi: 10.22146/jkesvo.71469.

P. Lestari and L. Belluano, “Pengembangan Single Page Application Pada Sistem Informasi Akademik,” ILKOM, vol. 10, no. 1, pp. 38–43, 2018.

S. I. Mandala, L. Fitriani, and A. Sutedi, “Rancang Bangun Aplikasi Pengelolaan Bug Tracker Berbasis Web pada Pengembangan Software,” J. Algoritm., vol. 19, no. 1, pp. 180–191, 2022, doi: 10.33364/algoritma/v.19-1.1046.

N. M. D. Febriyanti, A. A. K. O. Sudana, and I. N. Piarsa, “Implementasi Black Box Testing pada Sistem Informasi Manajemen Dosen,” JITTER, vol. 2, no. 3, pp. 37–72, 2021.




DOI: https://doi.org/10.53513/jsk.v6i1.6202

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.



JURNAL TEKNOLOGI SISTEM INFORMASI DAN SISTEM KOMPUTER TGD [ J-SISKO TECH]

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

 

PUSAT RISET DAN PENGABDIAN MASYARAKAT

STMIK TRIGUNA DHARMA

Jl. Pintu Air I/Jend. AH Nasution No. 73, Medan Johor
Sumatera Utara - Indonesia.

Phone: 061-8224051
Fax: 0618224051
Email: [email protected]