scholarly journals LSB Embedding in Spatial Domain - A Review of Improved Techniques

2012 ◽  
Vol 3 (1) ◽  
pp. 153-157 ◽  
Author(s):  
Himani Goyal ◽  
Shaveta Chutani
Keyword(s):  
Spatial Domain ◽  
Image Steganography ◽  
Lsb Technique ◽  
Audio Video ◽  
Over Time

Steganography - the art and technique of hiding information in images, audio, video or text and other cover media has evolved and developed with time. Numerous improvements have been achieved with respect to security, robustness and capacity. This paper presents a review of different LSB embedding techniques in Spatial Domain for image steganography. A variety of techniques which have evolved over time and have improved the basic LSB technique have been discussed. These techniques have also been compared on the basis of different parameters.

scholarly journals Text embedding using image steganography in spatial domain

2018 ◽  
Vol 7 (3.6) ◽  
pp. 1 ◽  
Author(s):  
P Srilakshmi ◽  
Ch Himabindu ◽  
N Chaitanya ◽  
S V. Muralidhar ◽  
M V. Sumanth ◽  
...  
Keyword(s):  
Text Message ◽  
Spatial Domain ◽  
Image Steganography ◽  
Text Data ◽  
Novel Approach

This paper proposed novel approach of image steganography for text embedding in spatial domain. In the proposed embedding the message is dumped into the image with reference to a random generated key, based on this key the extraction of text is done from the image. So this method is a highly secured from eavesdropping and highly complex to identify the text data in the image and retrieving the text message from the message is also a resilient process. The extraction is only possible when the key is known. 

Enhancing the confidentiality of text embedding using image steganography in spatial domain

2021 ◽  
Author(s):  
N. Karthikeyan ◽  
K. Kousalya ◽  
N. Krishnamoorthy ◽  
N. Jayapandian
Keyword(s):  
Spatial Domain ◽  
Image Steganography

Image steganography in spatial domain: A survey

2018 ◽  
Vol 65 ◽  
pp. 46-66 ◽  
Author(s):  
Mehdi Hussain ◽  
Ainuddin Wahid Abdul Wahab ◽  
Yamani Idna Bin Idris ◽  
Anthony T.S. Ho ◽  
Ki-Hyun Jung
Keyword(s):  
Spatial Domain ◽  
Image Steganography

scholarly journals A Safe and Secured Medical Textual Information Using an Improved LSB Image Steganography

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Roseline Oluwaseun Ogundokun ◽  
Oluwakemi Christiana Abikoye
Keyword(s):  
Medical Information ◽  
Medical Data ◽  
Image Steganography ◽  
Medical Information System ◽  
Least Significant Bit ◽  
Stego Image ◽  
Performance Metric ◽  
Challenging Tasks ◽  
Multimedia Technologies ◽  
Lsb Technique

Safe conveyance of medical data across unsecured networks nowadays is an essential issue in telemedicine. With the exponential growth of multimedia technologies and connected networks, modern healthcare is a huge step ahead. Authentication of a diagnostic image obtained from a specialist at a remote location which is from the sender is one of the most challenging tasks in an automated healthcare setup. Intruders were found to be able to efficiently exploit securely transmitted messages from previous literature since the algorithms were not efficient enough leading to distortion of information. Therefore, this study proposed a modified least significant bit (LSB) technique capable of protecting and hiding medical data to solve the crucial authentication issue. The application was executed and established by utilizing MATLAB 2018a, and it used a logical bit shift operation for execution. The investigational outcomes established that the proposed technique can entrench medical information without leaving a perceptible falsification in the stego image. The result of this implementation shows that the modified LSB image steganography outperformed the standard LSB technique with a higher PSNR value and lower MSE value when compared with previous research works. The number of shifts was added as a new performance metric for the proposed system. The study concluded that the proposed secured medical information system was evidenced to be proficient in secreting medical information and creating undetectable stego images with slight entrenching falsifications when likened to other prevailing approaches.

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