Improving the Quality of Digital Images Using the Image Averaging Method

 (*)Upa Yuandari Mail (STMIK Budi Darma, North Sumatera, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/ijics.v4i1.1982

Abstract

Image is a representation (picture), similarity, or imitation of an object. The use of digital images plays an important role as a form of information due to its advantages. Although it is rich in information, not all images have a good visual appearance. This can be due to interference in the form of noise, color intensity that is too contrasting or blurred. Noise itself is a disturbance caused by distorted digital data received by the image data receiver, starting from the movement during shooting by optical devices such as cameras, the use of optical devices that are not in focus, short lighting thereby reducing the number of photos captured by optical devices, or the weather when shooting. Noise can be removed by using the Image Averaging Method

 

Keywords


Image, Image Averaging Method, Noise

Full Text:

PDF


Article Metrics

Abstract view : 124 times
PDF - 48 times

References

P., Karen, 2009 “Image Averaging For Improved Iris Recognition”,

Sutoyoso, 2009, Komponen Komponen Pada Citra, Penerbit Bandung.

http://www, home.unpar.ac.id, tanggal akses 28 Juni 2018.

Munir, 2002. Pengenalan Citra Digital, Penerbit Bandung.

Darma Putra 2010, Pengolahan Citra, Penerbit Andi Yogyakarta.

Hermawati, Fajar Astuti. 2013. “Pengolahan Citra Digital Konsep dan Teori”. Penerbit Andi, Yogyakarta.

Jogiyanto H. M, 2005, Analisis dan Desaign, Penerbit Andi, Yogyakarta.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Improving the Quality of Digital Images Using the Image Averaging Method

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Upa Yuandari

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


The IJICS (International Journal of Informatics and Computer Science)
Published by STMIK Budi Darma.
Jl. Sisingamangaraja No.338 Simpang Limun, Medan, North Sumatera
Email: ijics.stmikbudidarma@gmail.com

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