Created
September 6, 2024 14:17
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| import os | |
| import sys | |
| import cv2 | |
| import numpy as np | |
| from scipy.io import wavfile | |
| def image_to_audio(image_path, output_wav): | |
| img = cv2.imread(image_path, cv2.IMREAD_GRAYSCALE) | |
| height, width = img.shape | |
| f = np.fft.fft2(img) | |
| fshift = np.fft.fftshift(f) | |
| inverse_f = np.fft.ifftshift(fshift) | |
| img_reconstructed = np.fft.ifft2(inverse_f) | |
| audio_signal = np.real(img_reconstructed).flatten() | |
| audio_signal_normalized = np.int16( | |
| (audio_signal / np.max(np.abs(audio_signal))) * 32767 | |
| ) | |
| sample_rate = 44100 | |
| wavfile.write(output_wav, sample_rate, audio_signal_normalized) | |
| print(f"Audio saved as {output_wav}") | |
| if __name__ == "__main__": | |
| if len(sys.argv) < 2: | |
| print("Usage: python script_name.py image_file") | |
| sys.exit(1) | |
| img_file = sys.argv[1] | |
| basename = os.path.basename(img_file) | |
| wav_file = basename + ".wav" | |
| image_to_audio(img_file, wav_file) |
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