How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
Video Steganography and Digital Watermarking are domains of Computer Science that deal with data confidentiality and aim to hide information inside a video, such that it is hidden in plain sight, but retrievable only by the intended user. Thus they can be used for digital copyrighting of videos…
This application was created in 2007, used as tool to help me to analysis data for my undergraduated thesis. With many request from people sent to my email, facebook and linked in, asked to share my work, so I decided to share the source code on Github.
The required dependencies are: - Tensorflow - Keras - tqdm
Steg is a simple python library for hiding and extracting messages from losslessly compressed images using least-significant-bit (LSB) steganography. Current supported image formats include PNG, TIFF, BMP, and ICO. Steg also includes a command line tool for quick hiding and extraction.
The main features of beatsbears/steg are: Steganography Tools.
Projects with overlapping indexed features include: adityangud/video-steganography-for-piracy-prevention — Video Steganography and Digital Watermarking are domains of Computer Science that deal with data confidentiality and… adyra/arms — This application was created in 2007, used as tool to help me to analysis data for my undergraduated thesis. With many… alexandremuzio/deep-steg — The required dependencies are: - Tensorflow - Keras - tqdm. alphadelta/png-mask — PNG Mask is a steganography tool for Windows to hide data in PNG files. anfractuosity/timeshifter — Transmissions over time based covert channels across a network. achorein/silenteye — silenteye.
