Survey on Denoising Techniques in Medical Images

Ravi Mohan; Sumit Sharma; Urooz Jabeen

Denoising of Medical Images is challenging problems for researchers noise is not only effect the quality of image but it Creates a major change in calculation of medical field. The Medical Images normally have a problem of high level components of noises. There are different techniques for producing medical images such as Magnetic Resonance Imaging(MRI), X-ray, Computed Tomography and Ultrasound, during this process noise is added that decreases the image quality and image analysis. Image denoising is an important task in image processing, use of wavelet transform improves the quality of an image and reduces noise level. Noise is an inherent property of medical imaging, and it generally tends to reduce the image resolution and contrast, thereby reducing the diagnostic value of this imaging modality there is an emergent attentiveness in using multi-resolution Wavelet filters in a variety of medical imaging applications. We Have review recent wavelet based denoising techniques for medical ultrasound, magnetic resonance images, and some tomography imaging techniques like Positron Emission tomography and Computer tomography imaging and discuss some of their potential applications in the clinical investigations of the brain. The paper deals with the use of wavelet transform for signal and image de-noising employing a selected method of thresholding of appropriate decomposition coefficients.

Select Volume / Issues:

• Volume 4 Issue 4, July 2013

Year:

2013

Type of Publication:

Article

Keywords:

Image Denoising; Image Enhancement; Wavelets; fMRI; Ultrasound

Journal:

IJECCE

Volume:

4

Number:

4

Pages:

1128-1132

Month:

July