Experiments Experiments relative to the Wavelets, the Ridgelets, and the Curvelets for detection and denoising applications:

Denoising

• Gray Image filtering by the Ridgelet Transform:
  • Line segment detection by the ridgelet transform
  • Spectrogram filtering by the ridgelet transform
• Gray Image filtering by the Curvelet Transform:
  • Line segment detection by the wavelet and the curvelet transform
  • Simulation with the classical Lena image
  • Simulation with a finger print image
  • Simulation with a brain image
• Color Image filtering by the Curvelet Transform:
  • Simulation with the classical Lena image
  • Simulation with the Barbara image
• Combined Filtering Method:
  • Simulation with the classical Lena image

Image Decomposition using Several Multiscale Transforms

• Simulation: decomposition on the curvelet transform + a trous wavelet transform
• Galaxy NGC2997: decomposition on a ridgelet transform + a trous wavelet transform
• Gravitational arc A370 (HST data): decomposition on the curvelet transform + ridgelet transform + a trous wavelet transform
• Galaxy SBS 0335-052 (Gemini data, 10 micron): decomposition on the curvelet transform + ridgelet transform + a trous wavelet transform
• Galaxy SBS 0335-052 (Gemini data, 20 micron): decomposition on the curvelet transform + ridgelet transform + a trous wavelet transform

Contrast Enhancement by the Curvelet Transform

• Saturn image.
• Kodak image (gray image) of the day 14/05/01.
• Kodak image (color image) of the day 14/05/01.
• Kodak image (color image) of the day 11/12/01.
• Satallite image.

Last modified: February 15, 2015