Is there any Algorithm for converting Image of sound to sound? [closed]

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So I have an image like this

_{(source: bytearray.org)}

Is there any algorithm to extract (get as PCM) sound from which was created that image?

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Basic answer is yes.. sort of. But not from that exact picture. That is because that picture is an extremely time-compressed waveform of the sound. There are likely sound waves missing in that picture hidden between 1 pixel and the next.

In case you're wondering the algorithm is:

sound_amplitude=((pixel_height-(image_height/2))/image_height)*sound_resolution

where sound_resolution is 128 if 8 bit and 32768 if 16 bit.

But, as I said, that image is too compressed. You have multiple pixels squished into a single vertical line. You can't correctly extract pixel_height form that.

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Unfortunately, the resolution of that image is too low to extract useful information. If you had a greatly zoomed-in version you could convert the pixel data back to audio.

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Given sufficient precision, I'm quite sure it's possible. However, I believe this wave would be much too imprecise to allow for any good to come out of it.

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To completely recover 1 second of sound at a sampling rate of, say, 44100 Hz; you need to zoom the drawing to be 44100 pixels (approx 40 screens) width.

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You would need to zoom in close enough to see the actual waveform, like this: