Evaluation of Noise Reduction Techniques in two-dimensional Echocardiography Images in the Left Ventricular by Image Processing Algorithms Using Matlab Software

摘要

Echocardiography images are usually corrupted by speckle noise. This noise reduces the image contrast and blurs the explanation of important spots in medical diagnosis. Since the speckle noise is destructive, the denoising procedure on the image, in comparison to other noises, is more difficult. It seems that the old techniques of noise suppression are not appropriate for removing the speckle noise. This paper presents the comparison of old techniques of improving the two-dimensional cardiograph images' quality in the left ventricular by Median, Adaptive wiener and Kaun filters to the latest methods of denoising based on the wavelet transformation and wavelet packets. Then the resulted data are compared with the results of other noise suppression techniques. In the filters' comparison phase the PSNR factor has been used and the level of PSNR increase between the noisy image and the filtered image signifies the success rate of filtering.