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All Journal CESS (Journal of Computer Engineering, System and Science) JTERA (Jurnal Teknologi Rekayasa) Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI EXPLORE Building of Informatics, Technology and Science International Journal of Informatics and Computation JISA (Jurnal Informatika dan Sains) Journal of Computer Science and Informatics Engineering EXPLORE Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Journal Of Computer Science And Technology Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Rekayasa Sistem Informasi dan Teknologi INSANTA: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Computer Science and Information Technology Journal of Data Analytics, Information, and Computer Science (JDAICS) Jurnal Pengabdian Masyarakat Ilmu Komputer Explore International Journal of Science, Technology and Applications
Efendi, Muhamad Masjun
Universitas Teknologi Mataram
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Analysis of Splicing Manipulation in Digital Images using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) Methods Muhidin, Zumratul; Karim, Muh. Nasirudin; Efendi, Muhamad Masjun
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8540

Abstract

In the digital age, image manipulation is common, often done before publication on social media. However, this can lead to negative impacts, including visual deception. This research aims to detect splicing type image manipulation using Dyadic Wavelet Transform (DyWT) and Scale Invariant Feature Transform (SIFT) methods. The process starts with image decomposition using DyWT to obtain LL sub-images, followed by local feature extraction using SIFT. An application built on desktop-based Matlab source was developed to detect splicing forgery in digital images. The test used 20 images, this image dataset was taken from canon 5d mark II camera and Vivo X80 mobile phone. Each 10 original images, and 10 edited images. These 10 original images are left as they are without making changes, editing or manipulation, while the other 10 images are changed, edited or manipulated using editing software, the results of this editing are uploaded to social media, such as Facebook and Instagram, which will later be used as datasets in testing. The results show that the splicing technique is detected accurately, and processing is faster on images with low pixel resolution. The DyWT and SIFT methods are effective in detecting post-processing attacks such as rotation and rescaling, although they have drawbacks. DyWT struggles in detecting subtle changes and noise, while SIFT is less effective on non-geometric manipulations. Overall, both methods face challenges in detecting complex manipulations and require significant computational resources, especially on high-resolution images.
Analysis of Copy-move Manipulation in Digital Images using Scale Invariant Feature Transform (SIFT) and SVD-matching Methods Efendi, Muhamad Masjun; Nukman, Nukman
Journal of Applied Informatics and Computing Vol. 9 No. 1 (2025): February 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i1.8937

Abstract

In recent years, more and more data has been created in digital form, allowing for easier control over storage and manipulation thanks to technological advancements. Unfortunately, these advancements also bring with them many risks, especially those related to the security of digital files. One of the concerns of many organisations is digital forgery, as it is increasingly easy to create fake images without leaving obvious traces of manipulation. One form of image forgery known as 'copy-move' is considered one of the most difficult problems in forgery detection. In this case, a portion of an image is copied and pasted at another location in the same image to hide unwanted objects in the scene. In this paper, we propose a method that automatically detects duplication areas within the same image. Duplication detection is performed by identifying local characteristics of the image (key points) using the Scale Invariant Feature Transform (SIFT) method and matching identical features using the Singular Value Decomposition (SVD) method. The results obtained show that our proposed hybrid method is robust to geometric transformations and is able to detect duplication areas with high performance.
Co-Authors Agus Perdana Windarto Ahmad Subki Ahmad Zakaria Alkhairi, Putrama Bambang Sugiantoro Erfan Wahyudi Fadia Karunia Utami Fadli, Sofiansyah Fadli Faoziah, Faoziah Fasya, Muhammad Rafli Feni Ayu Putri Gunawati, Junita Hambali Hambali Imran, Bahtiar Ismayani Juma’in, Juma’in Karim, Muh Nasirudin Karim, Muh. Nasirudin Karina Nurwijayanti Lalu Delsi Samsumar, M.Eng. M. Zulpahmi Moh. Subli Muahidin, Zumratul Muhammad Khulaimi Muhidin, Zumratul Mujahadah, Nur Muladi, Agum Mulyadi, M. Erwin Mutaqin, Zaenul Pramartha, Yayan Eva Rani Laple Satria Putra ratih ratih Rosidin Rosidin Rosidin Rosidin Rudi Muslim Rudi Muslim Sahida, Nirmala Salman Salman Salman Salman Samsuma, Delsi Satriawan, Manda Selamet Riadi Sofiansyah Fadli Subli, Moh. Sugeng Widodo Suryadi, Emi Sutrisno, Sutrisno Syaputra, Anjayani Wathan, M.Hizbul Wijaya, I Gusti Ngurah Satria Yudi prayudi Zaenudin Zaenudin Zaenudin