A Survey on Image Denoising in Wavelet Domain

Kuljeet Kaur, Baljit Singh Khehra

Abstract


X-rays has a special characteristic of electromagnetic radiation. The theory behind the production of X-rays beam is straightforward. When X-rays pass through the human body, some of these rays are absorbed by the body. This phenomenon of absorption is known as attenuation of X-rays. The attenuated X-rays are absorbed by the detectors that are on the opposite side of the body. This leads to the production of X-ray image. Medical X-rays also have different important features. Due to these features, medical X-rays are of great significance. In most cases the addition of noise in images occurs during the process of image acquisition and during the transmission process. So there is great need of removal of noise. Image de-noising is hence required. In most cases the addition of noise in images occurs during the process of image acquisition and the transmission process. Image de-noising is used to remove the additional noise that is actually available in the image.

Keywords: Harris operator; Noisy pixels; Poisson noise; Wavelet domain; X-rays.


Full Text:

PDF




Copyright (c) 2016 Kuljeet Kaur, Baljit Singh Khehra

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

 

All published Articles are Open Access at  https://journals.pen2print.org/index.php/ijr/ 


Paper submission: ijr@pen2print.org