Jurnal
FORENSIC IMAGE FORGERY MENGGUNAKAN TEKNIK WAVELET DENOISING PADA CITRA 2D
- Bagikan:
Technological advances have taken advantage of digitalization
which has been widely available and is very easy to find and use,
so many people misuse images for things that harm others. This
research builds a system to detect image forgery for copymove
using Discrete Wavelet Transform (DWT) with two dimensions
to detect image forgery. This system is built with steps; input
image formats JPG, PNG, BMP, RGB image conversion to
grayscale image, Threshold process, Discrete Wavelet
Transform (DWT) decomposition, 8x8 matrix calculation, Shift
Vector process, and the process of displaying image block
results. Based on the results of this study, the Discrete Wavelet
Transform is able to read the copy move through the noise that
exists in the image without disturbing the original image, the
copymove image will be detected by the system by reading each
image area by looking at the difference in each pixel that
produces the noise value. The noise value is processed by
comparing the noise value of the previous pixel so that it
produces a difference, therefore, the system can determine the
image area using the copymove technique and block the pixel
Detail Information
| Item Type |
Jurnal
|
|---|---|
| Penulis |
Susandri - Personal Name
Koko Harianto - Personal Name Azmi Rahmat Endardhi - Personal Name Aniq Noviciatie Ulfah - Personal Name Nora Lizarti - Personal Name |
| Student ID | |
| Dosen Pembimbing | |
| Penguji | |
| Kode Prodi PDDIKTI | |
| Edisi |
Published
|
| Departement | |
| Kontributor | |
| Bahasa |
Indonesia
|
| Penerbit | Jurnal Edik Informatika Penelitian Bidang Komputer Sains dan Pendidikan Informatika : Padang., 2021 |
| Edisi |
Published
|
| Subyek | |
| No Panggil | |
| Copyright |
STKIP PGRI Sumatera Barat
|
| Doi |