/noise_histoghram_entropy_and_fourier_transform

Image processing.

Primary LanguagePython

Image processing

1. Add noise, calculate histogram, calculate information entropy of gray scale image.

  • Below images are result of main.py.(Lenna image is used here.)

    1. Noise
    'SNRdb10'
    'SNRdb20'
    'SNRdb30'

    2. histogram
    'SNRdb10_histogram'
    'SNRdb20_histogram'
    'SNRdb30_histogram'

    3. Information entropy
    'Entropy'

2. Draw power spectrum of image. (using DFT)

  • Below images are result of main2.py.

    1. Target image
    'Target_image'

    2. Power spectrum 2D

    • Not centered.
      'Target_image'

    • Centered.
      'Target_image'

    3. Power spectrum 3D

    • Not centered.
      'Target_image'

    • Centered.
      'Target_image'