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Home/ Questions/Q 7651415
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Editorial Team
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Editorial Team
Asked: May 31, 20262026-05-31T11:30:01+00:00 2026-05-31T11:30:01+00:00

How is it possible to encode black/white picture into .wav-file? I know that it

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How is it possible to encode black/white picture into “.wav”-file? I know that it is possible for sure with help of “stenography”. But I don’t know it’s algorithms. What algorithms exist? And what books/sources are the best for understanding of their principles?


Edited:

Actually I have stereo wav-file. My task is to decode pictures from it. The task says, that frequencies of the left channel show the X-coordinate, frequencies of the right channel show the Y-coordinate of Cartesian coordinate system. These points compose the picture with the text-message. So, I must to write programm for this. I haven’t any idea what should I do.

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  1. Editorial Team
    Editorial Team
    2026-05-31T11:30:02+00:00Added an answer on May 31, 2026 at 11:30 am

    Probably the simplest version of steganography using a wav file would be to use 16-bit samples in the wave file, but only dedicate the 15 most significant bits to sound. In the least significant bit of each sample, you’d encode one pixel of your black and white picture.

    Regenerating the picture would require software to open the wave file, take the least significant bit from each sample, and put those bits back together with each other into (for example) a JPEG file.

    To put things into perspective, a CD has two channels containing 16 bit samples at a rate of 44.1 KHz, so you’d only need the LSBs from around 10 seconds of sound to encode a fairly typical full-color JPEG (e.g., 100KB or so). A wave file of a typical ~3 minute pop song could hide around 15-20 full-color pictures pretty easily.

    Edit: (to reply to edited answer). This is a little tougher to deal with. An individual sample can’t represent any frequency; it just represents the amplitude at a given point in time. To get frequency, you need a number of samples over a period of time — and you need to know the exact period to convert.

    Once you know that, you basically do an FFT on the samples. That will tell you the relative strengths of signal at all possible frequencies. Presumably, you’d pick the strongest one and scale appropriately. Do the same for the other channel and draw a pixel at that point.

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