Performance Evaluation of LSB Sequential and Pixel Indicator Algorithms in Image Steganography
Category:- Conference; Year:- 2021
Discipline:- Computer Science & Engineering Discipline
School:- Science, Engineering & Technology School
Digital photo images are everywhere around us over the Internet. Due to the advancements in digital cameras, photo images have become a rich subject of manipulation. Images are used as cover media by image-based steganography to conceal hidden data. The objective of the approach is to hide a message under an image without creating any doubt. Encoder of this can be used for hiding message in an image so that when we send the image to another person using any network, that does not create unwanted attention to any unauthorized person about the existence of the message. But the person who has decoder can easily decode the message from the image. This tool manipulates so less portion of the image that it cannot be visible in naked eyes and only those who already know about existence of the message can decode it. In this way, message can be passed to the actual receiver without notifying the existence of it even in insecure network. The common technique used replacing the least significant bits (LSBs) of the image pixels with the hidden bits intended. On the other hand, pixel indicator technique (PIT) benefits from the advantages of several older steganography methods. Here, a performance comparison among LSB sequential substitution, PIT and coded LSB substitution are carried out over image quality, capacity, and security issues.