METHOD FOR DATA HIDING BASED ON LeGall 5/3 (COHEN-DAUBECHIES-FEAUVEAU: CDF 5/3) WAVELET WITH DATA COMPRESSION AND RANDOM SCANNING OF SECRET IMAGERY DATA

2013 ◽  
Vol 11 (04) ◽  
pp. 1360006
Author(s):  
KOHEI ARAI
Keyword(s):  
Data Compression ◽  
Data Hiding ◽  
Signal To Noise Ratio ◽  
Image Data ◽  
Image Database ◽  
Original Image ◽  
Least Significant Bit ◽  
Signal To Noise ◽  
Image Data Compression ◽  
Imagery Data

Method for data hiding based on LeGall 5/3 of Cohen-Daubechies-Feauveau: CDF 5/3 wavelet with data compression and random scanning of secret imagery data together with steganography is proposed. Invisibility of secret imagery data is evaluated based on Peak Signal to Noise Ratio: PSNR with SIDBA standard image database. The experimental results show that PSNR of LeGall based wavelet utilized data hiding ranges from 43.82 to 46.9 while that of Daubechies based method ranges from 44.33 to 44.75 when the coded secret imagery data is inserted in the first 3 digits from Least Significant Bit: LSB of the original image. Data compression ratio for the secret imagery data ranges from 1.3 to 19.4 which depends on the complexity of the secret imagery data. Meanwhile, PSNR of data hidden image ranges from 46.83 to 47.41. Consequently, the proposed data hiding method is permissive because PSNR is over 40 dB results in satisfaction on invisibility of the secret imagery data in the data hidden image.

scholarly journals Skema Penyembunyian Data pada Gambar Berbasis Interpolasi Kubik B-Spline Menggunakan Metode Least Significant Bit (LSB)

2019 ◽  
Vol 5 (3) ◽  
pp. 255
Author(s):  
Garno Garno ◽  
Riza Ibnu Adam
Keyword(s):  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Image Interpolation ◽  
Cover Image ◽  
Original Image ◽  
Least Significant Bit ◽  
Signal To Noise ◽  
B Spline ◽  
Squared Error ◽  
Noise Ratio

Maraknya kasus pencurian data menyebabkan sistem keamanan pesan harus ditingkatkan. Salah satu cara untuk mengamankan pesan adalah dengan memasukkan pesan ke dalam gambar digital. Penelitian ini bertujuan untuk meningkatkan kualitas gambar digital dalam sistem keamanan pesan tersembunyi. Teknik yang digunakan untuk keamanan pesan adalah steganografi. Cover image akan dikonversi menjadi bit piksel dalam domain spasial. Cover image digunakan dalam bentuk gambar digital dengan format .jpg. Teknik meningkatkan kualitas dan kapasitas gambar digital dilakukan dengan menambahkan dan meningkatkan bit piksel menggunakan metode interpolasi Cubik B-Spline. Cover image yang telah di interpolasi, kemudian disisipi pesan menggunakan metode least significant bit (LSB) untuk memperoleh stegoimage. Pesan yang diselipkan berbentuk file .doc, .docx, .pdf, .xls, .rar, .iso dan .zip dengan ukuran berbeda-beda kapasitasnya. Teknik uji dibuat dengan bantuan perangkat lunak MATLAB versi 2017a. Penelitian melakukan uji dengan mengukur nilai kualitas penyamaran dari stegoimage menggunakan Peak Signal to Noise Ratio (PSNR) dengan rata-rata perolehan stegoimage terhadap Original image 29.06 dB dan stegoimage terhadap Image interpolation 64.34 dB dan uji mean squared error (MSE) dengan rata-rata perolehan 97.54 dB pada Image interpolation terhadap original image dan 97.55 dB pada stegoimage terhadap original image, 0.13 dB nilai MSE stegoimage terhadap Image interpolation. Hasil uji pada penelitian dengan proses interpolasi pada coverimage dengan Cubic B-Spline mempengaruhi terhadap nilai samar atau Nilai PSNR.

scholarly journals Technique of Hiding Information in Image using Least Significant Bit

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Data Security ◽  
Information Hiding ◽  
Color Image ◽  
Signal To Noise Ratio ◽  
Original Image ◽  
Least Significant Bit ◽  
Signal To Noise ◽  
Message Size ◽  
Average Value ◽  
Research Show

Information hiding is very important because a lot of data theft occurs which can result in significant losses. Data security can be done by hiding information into a media. This media can be in the form of images or sounds. There are several concealment techniques in the picture. In this study, we will discuss the hiding of information in a 24-bit color image which consits of 3 x 8-bit. The method used is Least Significant Bit (LSB). This method is used to insert messages into the 24-bit color image insertion media on every 1 of the most significant bits of each image color. The layers used are Red, Green, and Blue. This method has a small MSE and does not appear to differ if the image is seen directly with the eye. The results of the research show that MSE calculation is not so much different from the original image. Peak Signal to Noise ratio (PSNR) for each image inserted with the maximum message size can produce an average value above 40 dB. This LSB method is excellent to use to provide information in the form of images.

scholarly journals Reversible Data Hiding Using Two Marked Images Based on Adaptive Coefficient-Shifting Algorithm

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ching-Yu Yang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Signal To Noise Ratio ◽  
Secret Image Sharing ◽  
Signal To Noise ◽  
Host Medium ◽  
Secret Image ◽  
Image Sharing ◽  
Host Image ◽  
Acs Algorithm

This paper proposes a novel form of reversible data hiding using two marked images by employing the adaptive coefficient-shifting (ACS) algorithm. The proposed ACS algorithm consists of three parts: the minimum-preserved scheme, the minimum-preserved with squeezing scheme, and the base-value embedding scheme. More specifically, each input block of a host image can be encoded to two stego-blocks according to three predetermined rules by the above three schemes. Simulations validate that the proposed method not only completely recovers the host medium but also losslessly extracts the hidden message. The proposed method can handle various kinds of images without any occurrence of overflow/underflow. Moreover, the payload and peak signal-to-noise ratio (PSNR) performance of the proposed method is superior to that of the conventional invertible data hiding schemes. Furthermore, the number of shadows required by the proposed method is less than that required by the approaches which are based upon secret image sharing with reversible steganography.

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