I try to make something that looks good (or at least doesn't look like random static) by running pictures I've taken through audio editing software. There are some extra steps that go into it to "trick" the program into importing the picture as if it were a sound file, making sure the header (information that tells your computer that this is a picture) doesn't get fucked with, and then exporting the data in a way that it will be saved as a picture and not an mp3 or something else.
On the rare occasion I do bring it up, I can literally watch people's eyes glaze over. Until I show them a picture
Edit: internet is really bad right now, will reply with an image when I can
Edit2: picture was too big at 7MB. Hopefully a screenshot of the picture doesn't look too bad
Considering it's audio-software, I guess the changes are related to frequency changes. You should look up Fourier transform (the function that allows to see the sound frequencies of music, for example) applied to images and play with it. If you are not afraid to do a little bit of Python coding, you should be able to have much more control on the parameters responsible for the visual effects you're looking for.
The image equivalent of bass frequencies (long wavelength) are big details (ex: the trees) and high frequencies (short wavelength) are small details (ex: the leaves).
I try to make something that looks good (or at least doesn't look like random static) by running pictures I've taken through audio editing software. There are some extra steps that go into it to "trick" the program into importing the picture as if it were a sound file, making sure the header (information that tells your computer that this is a picture) doesn't get fucked with, and then exporting the data in a way that it will be saved as a picture and not an mp3 or something else.
On the rare occasion I do bring it up, I can literally watch people's eyes glaze over. Until I show them a picture
Edit: internet is really bad right now, will reply with an image when I can
Edit2: picture was too big at 7MB. Hopefully a screenshot of the picture doesn't look too bad
*removed externally hosted image*
Considering it's audio-software, I guess the changes are related to frequency changes. You should look up Fourier transform (the function that allows to see the sound frequencies of music, for example) applied to images and play with it. If you are not afraid to do a little bit of Python coding, you should be able to have much more control on the parameters responsible for the visual effects you're looking for.
The image equivalent of bass frequencies (long wavelength) are big details (ex: the trees) and high frequencies (short wavelength) are small details (ex: the leaves).