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All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
Herry Sunandar
Universitas Budi Darma, Medan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Implementasi Algoritma Fungsi Hash Grostl Untuk Mendeteksi Orisinalitas Citra Digital Wahyu Satria Putra Zega; Herry Sunandar; Suginam Suginam
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 4, No 1 (2020): The Liberty of Thinking and Innovation
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v4i1.2709

Abstract

Image modification is the process of manipulating part or all of the image area with the help of digital image processing techniques. Image fakes are generally difficult to analyze with the naked eye because the resulting image from the image modification process is difficult to distinguish with the naked eye. The ease of creating and changing an image can damage the credibility of the authenticity of the image in various aspects, thus making it prone to be used for criminal acts because image changes in digital images can change the information conveyed to be different. This is the basis of this research to detect the authenticity of an image. The Grostl method is a hash function to detect changes in digital images, the Grostl hash function is used to determine whether an image has been modified or not. The application of the Grostl method to generate a hash code from a digital image begins by inputting the digital image as the object to be hashed.Keywords: Image Originality, Hash, Grostl
Penerapan Metode Modified Mefian Filter Dalam Meningkatkan Kualitas Citra Underwater Serlin Syah; Herry Sunandar; Alwin Fau
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5745

Abstract

Underwater images often experience disturbances such as imperfect noise and noise which can result in capture results being too dark or too bright, blurred or even less sharp, which will result in very poor image quality. Modified Median Filter is a development of a noise detection algorithm based on a simple concept, namely if a pixel belongs to a uniform area, then it is close in color to a neighboring pixel, then it is not corrected, if there is nothing close to a neighboring pixel, then noise is detected then the pixel value is replaced with the median of the evaluated window. Image quality is measured by means of two magnitudes, namely MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ration) by comparing MSE and MNSR values to obtain results and improve image quality.
Co-Authors Alwin Fau Serlin Syah Suginam Wahyu Satria Putra Zega