BIOMEDICAL IMAGE ANALYSIS USING WAVELET TOOLS FOR EMERGENCY MEDICAL APPLICATIONS

In this paper, the analysis of 2D signals, especially emergency biomedical images are performed using the wavelet tools of MATLAB, has been presented for medical application. In terms of 2D signal analysis, an image is taken and added with different four types of noise (Salt and Peeper, Speckle, Gaussian and Poisson). After that all of the noisy images are de-noised for further comparison with the statistical data of the original image. Later the decision is taken based on the impact of the noises, which noise is less harmful and from which noise the signal can be reconstructed mostly. The applications of wavelet in different sectors along with some practical usage are also discussed