Various wavelet techniques for x-rays using thresholding
International Journal of Latest Trends in Engineering and Technology · 2017
In recent years, there are many techniques that are used in image processing for de-noising and retaining the edges of an image.There are different noises found in an image and for their removal application dependent de-noising algorithms are used.Each one of them have different pros and cons.The basic idea is to remove the noise and improve the quality of image.In this paper, de-noising techniques are discussed.The aim of denoising techniques is to reduce noise as well to retain the details of image .This paper analyze the performance of the wavelet-based thresholding approach at different level in the existence of Speckle noise and Poison for Wavelet types Daubechies and Mallat for denoising X-ray image by calculating parameters SNR,MSE,EPI,Correlation coefficient.