Medical Image De-Noising Using Hybrid Methodology with Wavelets and Guided Filter

摘要

Image DE-noising is an important part of image processing and computer vision problems. One of the most powerful and perspective path in this area is image de-noising using discrete wavelet transform (DWT) and guided filters. This paper prefer a new image de-noising method using hybrid methodology which gives better performance than the DWT and guided filters. The DE-noised image performance can be evaluated in terms of peak signal to noise ratio (PSNR), Mean Squared Error (MSE), Correlation Coefficient. The proposed work will be implemented using MAT LAB R 2015a.