Gaussian Noise Removal in an Image using Fast Guided Filter and its Method Noise Thresholding in Medical Healthcare Application.

Abstract:

:A new denoising algorithm using Fast Guided Filter and Discrete Wavelet Transform is proposed to remove Gaussian noise in an image. The Fast Guided Filter removes some part of the details in addition to noise. These details are estimated accurately and combined with the filtered image to get back the final denoised image. The proposed algorithm is compared with other existing filtering techniques such as Wiener filter, Non Local means filter and bilateral filter and it is observed that the performance of this algorithm is superior compared to the above mentioned Gaussian noise removal techniques. The resultant image obtained from this method is very good both from subjective and objective point of view. This algorithm has less computational complexity and preserves edges and other detail information in an image.

journal_name

J Med Syst

authors

Majeeth SS,Babu CNK

doi

10.1007/s10916-019-1376-4

subject

Has Abstract

pub_date

2019-07-12 00:00:00

pages

280

issue

8

eissn

0148-5598

issn

1573-689X

pii

10.1007/s10916-019-1376-4

journal_volume

43

pub_type

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