Advertisement
Published in:
2023 | OriginalPaper | Chapter
Image Distortion Analysis in Stego Images Using LSB
Authors : Shubh Gaur, Swati Chaturvedi, Shiavnsh Gupta, Jay Mittal, Rohit Tanwar, Mrinal Goswami
Published in: Proceedings of Third International Conference on Computing, Communications, and Cyber-Security
Publisher: Springer Nature Singapore
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
One of the most pressing matters at hand of today’s communication networks is privacy. Privacy is essential where information to be transmitted to the desired target without being intercepted by third parties or bringing them in a way that they cannot understand. Lossless text encryption technique for gray scale or RGB images using least significant bit (LSB) is the most commonly used method to hide data. LSB technique is preferred as it is difficult to draw a distinction between the cover object and stego object if few LSB bits of the cover object are replaced. However, image distortion is a major issue which needs critical investigation as it can change the original image. This paper proposes an algorithm to embed text in RGB images and also evaluate the distortion in image at various bit positions. Simulation results suggest that distortion in the image is least at 8th-bit and most at 1st-bit position.