OPTIMALISASI KUALITAS CITRA DIGITAL DENGAN METODE KETETANGGAAN PIKSEL
This study aims to improve the image or image by eliminating noise in the color image that is converted to gray images with a number of pixel intensities of 0 to 255 using the pixel neighboring method. Pixel neighbor types used in the test include boundary filters, uniform filters and median filters. While noise added to the original image is salt noise and pepper and gaussian with a value of p = 0.01. From the results of this study, it can be seen how much interference can be corrected by using a type of neighboring pixel filter, with the amount of improvement including reducing noise, softening noise and eliminating noise. From the results of the tests carried out with the help of the octave 3.4.3 program, it can be seen that the boundary filter aims to prevent pixels whose intensity outside the intensity of neighboring pixels with white spots on the image can be removed. However, if you pay close attention, the operation also blurs the image, while in the equalization filter the processing effect with the alignment filter. Compared to the limit filter, the processing of the uniform filter does not eliminate white spots on the image of the car, but only slightly disguises the image, while in median filter The results show that noise can be removed, but the details on the image are retained. However, this is of course obtained with the added computational burden of "sorting".
 Harvei Desmon Hutahaean, Teknik Penajaman Citra Digital Dengan Menggunakan Metode Contrast Streching, Pelita Informatika Budi Darma, Volume III, Maret 2013 ISSN : 2301-9425
 Muhammad Kusban, Perbaikan citra melalui proses pengolahan piksel, Prosiding Seminar Nasional Aplikasi Sains & Teknologi (SNAST) Periode IIIYogyakarta, 3 November 2012, ISSN: 1979-911X
 Nailul Mustaqim Abdi1, Siti Aisyah2 dan Fitri Arnia1 Jurnal Rekayasa Elektrika Vol. 9, No. 3, April 2011, Peningkatan Kualitas Citra Digital Menggunakan Metode Super Resolusi Pada Domain Spasial.
 Silvester Tena, perbaikan kualitas citra berwarna dengan metode discrete wavelet transform (DWT), seminar nasional sains dan teknik 2012 (Sainstek 2012)
 Sugiono, memahami penelitian kwalitatif, 2012, Yogyakarta, andi
 Rika Novita Wardhani dkk, Analisis Penerapan Metode, Analisis Penerapan Metode Konvolusi Untuk Untuk Reduksi Derau Pada Citra Digital. J: Mikroskopi dan Mikroanalisis Vol 3 No.1 2010, ISSN 1410-5594
This work is licensed under a Creative Commons Attribution 4.0 International License.