Steganography software for encrypting text into image that uses modified version of LSB (Least Significant Bit) algorithm.

BPStegano is a steganography tool built using Python 3. It uses AES-128 encryption a custom LSB random pixel algorithm hiding to hide raw strings and any type of file inside images.

Implementation of Least Significant Bits in Steganography (YouTube tutorial)

Web application using the Python Stegano library

Last Significant Bit (LSB) Steganography

Encrypt and hide an image inside an image with this desktop app based on Image Steganography. Choose cover and secret images, set AES keys, and perform LSB algorithm operations. Explore covert communication in images effortlessly.

Hide a text document (text.txt) within the same folder as this program into an image (host_image.jpg). The GUI will show the host image in the left panel. The hiding will be performed by replacing the ’n’ lower order bits of image with the ASCII values of the ‘m’ number of characters from the text document. The more text you embed into the image…

LSB engine with PIL to work with steganoed images

least significant bit tool

Steganografi dengan metode least significant bit

[Архив 2016] Стеганография изображений / Simple app to encode/decode text in images

Julia Digital Image Steganography - Least Significant Bit Steganography application written in the Julia language

stegtool is a steganography tool which can embed or extract data from image files..

Hide data inside images. uses least significant bit Steganography to hide data inside images

An implementation of steganography using the Least Significant Bit algorithm in the Matlab scripting language. Embed secret messages in images!

A simple LSB (least significant bit) image steganography web app that uses the RGB channels.

Implementing Steganography from scratch using Python.

.Net application that utilizes an LSB algorithm to hide text in images through a Telegram bot.

Fast tools for integer sorting

In the following project we are concentrating on least significant bit of the image and modifying it in spatial domain. We have broken down and concluded about the variations of this algorithm as far as efficiency and hiding capacity of an image. Viability of the algorithm is estimated by client assessments deciding so, all things considered cha…