Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani
<div data-canvas-width="357.20802011147293">Bit-Plane Complexity Segmentation (BPCS) is a fairly new steganography technique. The most important process in BPCS is the calculation of complexity value of a bit-plane. The bit-plane complexity is calculated by looking at the amount of b...
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doaj-0ed345481dcc4a6faeeab43eee8791472020-11-25T01:09:27ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2015-04-0111310110810.17529/jre.v11i3.22382187Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem MamdaniRahmad Hidayat0Politeknik Negeri Lhokseumawe<div data-canvas-width="357.20802011147293">Bit-Plane Complexity Segmentation (BPCS) is a fairly new steganography technique. The most important process in BPCS is the calculation of complexity value of a bit-plane. The bit-plane complexity is calculated by looking at the amount of bit changes contained in a bit-plane. If a bit-plane has a high complexity, the bi-plane is categorized as a noise bit-plane that does not contain valuable information on the image. Classification of the bit-plane using the set cripst set (noise/not) is not fair, where a little difference of the value will significantly change the status of the bit-plane. The purpose of this study is to apply the principles of fuzzy sets to classify the bit-plane into three sets that are informative, partly informative, and the noise region. Classification of the bit-plane into a fuzzy set is expected to classify the bit-plane in a more objective approach and ultimately message capacity of the images can be improved by using the Mamdani fuzzy inference to take decisions which bit-plane will be replaced with a message based on the classification of bit-plane and the size of the message that will be inserted. This research is able to increase the capability of BPCS steganography techniques to insert a message in bit-pane with more precise so that the container image quality would be better. It can be seen that the PSNR value of original image and stego-image is only slightly different.</div>http://www.jurnal.unsyiah.ac.id/JRE/article/view/2238steganographybit-planeBPCSstego-imagefuzzy |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rahmad Hidayat |
spellingShingle |
Rahmad Hidayat Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani Jurnal Rekayasa Elektrika steganography bit-plane BPCS stego-image fuzzy |
author_facet |
Rahmad Hidayat |
author_sort |
Rahmad Hidayat |
title |
Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani |
title_short |
Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani |
title_full |
Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani |
title_fullStr |
Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani |
title_full_unstemmed |
Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani |
title_sort |
klasifikasi bit-plane noise untuk penyisipan pesan pada teknik steganography bpcs menggunakan fuzzy inference sistem mamdani |
publisher |
Universitas Syiah Kuala |
series |
Jurnal Rekayasa Elektrika |
issn |
1412-4785 2252-620X |
publishDate |
2015-04-01 |
description |
<div data-canvas-width="357.20802011147293">Bit-Plane Complexity Segmentation (BPCS) is a fairly new steganography technique. The most important process in BPCS is the calculation of complexity value of a bit-plane. The bit-plane complexity is calculated by looking at the amount of bit changes contained in a bit-plane. If a bit-plane has a high complexity, the bi-plane is categorized as a noise bit-plane that does not contain valuable information on the image. Classification of the bit-plane using the set cripst set (noise/not) is not fair, where a little difference of the value will significantly change the status of the bit-plane. The purpose of this study is to apply the principles of fuzzy sets to classify the bit-plane into three sets that are informative, partly informative, and the noise region. Classification of the bit-plane into a fuzzy set is expected to classify the bit-plane in a more objective approach and ultimately message capacity of the images can be improved by using the Mamdani fuzzy inference to take decisions which bit-plane will be replaced with a message based on the classification of bit-plane and the size of the message that will be inserted. This research is able to increase the capability of BPCS steganography techniques to insert a message in bit-pane with more precise so that the container image quality would be better. It can be seen that the PSNR value of original image and stego-image is only slightly different.</div> |
topic |
steganography bit-plane BPCS stego-image fuzzy |
url |
http://www.jurnal.unsyiah.ac.id/JRE/article/view/2238 |
work_keys_str_mv |
AT rahmadhidayat klasifikasibitplanenoiseuntukpenyisipanpesanpadatekniksteganographybpcsmenggunakanfuzzyinferencesistemmamdani |
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