DE NOISING OF MEDICAL IMAGES BY USING WAVELET AND GAUSSIAN LAPLACIAN MODELS

In this proposed method De noise the image by using image processing techniques. The de noise is very main important thing in medical image processing. After de noised only the image can we propose any other stages . In existing methods de noised only done at spatial domain. At now we proposed method mostly done at frequency domain. We use DWT (discrete wavelet transform (DWT) for decompose of the image. Then apply Gaussian and laplacian model for removing the noise from image. Finally we compare the noise model and outputs of image results for both filter models.