Now we have to put together the frames together into a video. We have loaded a video, pulled it to as many frames as possible, and encoded it. As we do not need to hide all the text in the first frame itself, we divide the frames and hide it in many frames. Split_string is a helper function to split strings into small portions. Now that we have all the frames, we can divide the strings into small chunks and hide each chunk of the message inside a frame using the lsb.hide() method: After we encode the frames with our text, we can then use this audio file to give our encoded video file the proper audio. This code will extract the audio from the given video file and save it as “audio.mp3” in the tmp folder.
To use FFmpeg in Python, we have to import call and STDOUT from the subprocess library: from subprocess import call,STDOUTĪnd then we can run the code below in Python: call(,stdout=open(os.devnull, "w"), stderr=STDOUT)
If you get something like the message below, everything is OK: ffmpeg version n4.1.4 Copyright (c) 2000-2019 the FFmpeg developers To validate that FFmpeg is installed properly, run: ffmpeg -version Then run the command below to install FFmpeg: $sudo apt install ffmpeg To install FFmpeg in Ubuntu, first update the package list: $sudo apt update With FFmpeg, you can extract audio files from a video, convert your PNG image files into video, and much more. It contains a set of shared audio and video libraries such as libavcodec, libavformat, and libavutil. Extracting audio from a videoįFmpeg is a free and open-source command-line tool for transcoding multimedia files. To extract that audio, we will use FFmpeg. Once this is done, we are left with all the frames from the video.īut a video is not just a collection of images.
Now that we have hidden A in the pixel array, let’s use Python to hide a text inside an image. If we convert it to binary, we get 01000001. This is a pixel array, and we want to hide A in it. Take an array of pixels as an example and suppose we want to hide the character A in it. (R, G, B)=(0,0,0) is the representation of the color black and (255,255,255) represents the color white. A digital color image will have red, green, and blue channels and eight bits to represent each channel, so every channel can take a value from 0-255, and this value represents the intensity of the pixel. How Can We Use LSB Transformation to Hide Data Inside an Image?Ī digital image is a representation of pixel values, and every pixel value will have numbers containing information regarding the pixel.
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