Modeling and restoration of Raman microscopic images
Presents a model for Raman microscopic images. The model describes the degradation of Raman signals by non-uniform illumination, by the microscopic system, and by additive signal-dependent Gaussian noise. Using this model, synthetic images were created to validate the model. Based on these synthetic images, an anisotropic diffusion filter was applied to reduce the signal-dependent Gaussian noise and at the same time not blur the objects' boundary. A Wiener filter was used to restore the blurred Raman images by the microscopic system. And, an image ratioing method was used to correct for the non-uniform illumination. After the restoration, the mean absolute error between the restored image and the true image was minimized.