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Convert images to audio using mathematical calculations based on RGB values and lightwave frequencies, producing unique sound outputs. Explore the process step by step with image input, calculations, and audio output.
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Images to Audio By Donna Jones
Outline • Image Input • Mathematical Calculations • Audio Output
Image Input • Take an image that is sent to the Blackfin’s memory • Find its red, green, and blue values • red = (rmask & imgInput[0]) >> 10; • green = (gmask & imgInput[0]) >> 5; • blue = bmask & imgInput[0];
Mathematical Calculations • Find frequency of the lightwave and then map it to sound frequency • Use these values in conjuction with the RGB values from the image • Use: r = 2*3.14*(fsr/FS)*(t+1); • g = 2*3.14*(fsg/FS)*(t+1); • b = 2*3.14*(fsb/FS)*(t+1); • output = ((red*10000)*sinf(r*t))+((green*10000)*sinf(g*t))+((blue*10000)*sinf(b*t));
Audio Output • The audio is outputted from the formul • iChannel0LeftOut = indivOutput; • iChannel0RightOut = indivOutput;
Issues • Can not compute an entire 64x64 image at once, there is a delay causing a popping sound • Final product only analyzes one pixel, but could maybe be expanded to an entire picture if given more time