Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients

  title={Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients},
  author={Sylvain Durand and Mohamed-Jalal Fadili and Mila Nikolova},
  journal={Journal of Mathematical Imaging and Vision},
We address the denoising of images contaminated with multiplicative noise, e.g. speckle noise. Classical ways to solve such problems are filtering, statistical (Bayesian) methods, variational methods, and methods that convert the multiplicative noise into additive noise (using a logarithmic function), apply a variational method on the log data or shrink their coefficients in a frame (e.g. a wavelet basis), and transform back the result using an exponential function. We propose a method composed… CONTINUE READING
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