Bi-directional pixel-value differencing approach for RGB color image

2013 ◽  
Author(s):  
Himakshi ◽  
Ravindra Kumar Singh ◽  
Harsh Kumar Verma ◽  
Charan Kamaljit Singh
Keyword(s):  
Color Image ◽  
Pixel Value ◽  
Pixel Value Differencing

scholarly journals Image Steganography Built on Pixel Value Difference in Spatial Domain using Range Table

2020 ◽  
Vol 9 (3) ◽  
pp. 3448-3453
Keyword(s):  
Color Image ◽  
Sensitive Information ◽  
Stego Image ◽  
Security Services ◽  
Business Applications ◽  
Pixel Value ◽  
Digital Transactions ◽  
Pixel Value Differencing ◽  
Pixel Value Difference

With the increase of digital transactions, providing security for the network and its devices is a big challenge today. Sensitive information that has more value in the network is to be protected from unauthorized users in accessing it. Various algorithms are being developed to provide security services for the data. In this paper security is provided by using pixel value differencing technique. Valuable data is embedded in each of the component of color like red, blue and green of a pixel in a color image. In addition to that in providing additional security pixel value has been updated conditionally, that would be more complex to trace the incremented or decremented bits in a pixel of the stegoimage. From this experiment the proposed method provides better visual quality of stego image. This proposed algorithm is suitable for small business applications where small size data is important and threats are more common.

TEKNIK PENYEMBUNYIAN PESAN TEKS TERENKRIPSI ALGORITMA MERKLE-HELLMAN KNAPSACK MENGGUNAKAN METODE PIXEL VALUE DIFFERENCING KE DALAM CITRA DIGITAL

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Agung Lestari ◽  
Abdul Sani Sembiring ◽  
Taronisokhi Zebua
Keyword(s):  
Digital Image ◽  
Data Security ◽  
Object Based ◽  
Pixel Value ◽  
Attack Data ◽  
Pixel Value Differencing ◽  
Knapsack Algorithm ◽  
Cryptographic Techniques

Optimization of data security techniques is very necessary so that the data or information that is secured is really safe from attack. Data that has been encrypted based on cryptographic techniques very quickly raises suspicion that the data is confidential or important. Therefore, this technique is better combined with steganography techniques. Utilization of steganography techniques can minimize the attacker's suspicion of data that is secured, because by using steganography data techniques can be hidden on certain objects. This study discusses how to encode a text based on the Merkle-Hellman Knapsack algorithm and the resulting password is hidden in a grayscale digital image as a hiding object based on the pixel value differencing algorithm. This is done to minimize suspicion and make it difficult for attackers to find out confidential or important data.Keywords: cryptography,steganography, merkle-hellmankanpsack, PVD, image

A data hiding scheme using the varieties of pixel-value differencing in multimedia images

2011 ◽  
Vol 84 (4) ◽  
pp. 669-678 ◽  
Author(s):  
Cheng-Hsing Yang ◽  
Chi-Yao Weng ◽  
Hao-Kuan Tso ◽  
Shiuh-Jeng Wang
Keyword(s):  
Data Hiding ◽  
Pixel Value ◽  
Pixel Value Differencing

scholarly journals High Capacity Image Steganography Using Modified LSB Substitution and PVD against Pixel Difference Histogram Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Gandharba Swain
Keyword(s):  
Boundary Problem ◽  
High Capacity ◽  
Experimental Results ◽  
Least Significant Bit ◽  
Rs Analysis ◽  
Distortion Measure ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Difference Histogram ◽  
Lsb Substitution

The combination of pixel value differencing (PVD) and least significant bit (LSB) substitution gives higher capacity and lesser distortion. However, there are three issues to be taken into account: (i) fall off boundary problem (FOBP), (ii) pixel difference histogram (PDH) analysis, and (iii) RS analysis. This paper proposes a steganography technique in two variants using combination of modified LSB substitution and PVD by taking care of these three issues. The first variant operates on 2 × 3 pixel blocks and the second technique operates on 3 × 3 pixel blocks. In one of the pixels of a block, embedding is performed using modified LSB substitution. Based on the new value of this pixel, difference values with other neighboring pixels are calculated. Using these differences, PVD approach is applied. The edges in multiple directions are exploited, so PDH analysis cannot detect this steganography. The LSB substitution is performed in only one pixel of the block, so RS analysis also cannot detect this steganography. To address the FOBP, suitable equations are used during embedding procedure. The experimental results such as bit rate and distortion measure are satisfactory.

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