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Article . 2019
License: CC BY
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Article . 2019
License: CC BY
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ZENODO
Article . 2019
License: CC BY
Data sources: Datacite
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Medical image denoising by using discrete wavelet transform: Neutrosophic theory new direction

descriptionPublicationkeyboard_double_arrow_right Article 20 May 2019Publisher:Zenodo
Authors: T.E. Aravindan; R. Seshasayanan; K.S. Vishvaksenan;

doi: 10.5281/zenodo.3054860 , 10.5281/zenodo.3054859

Medical image denoising by using discrete wavelet transform: Neutrosophic theory new direction

Abstract

Medical images are corrupted by noises during the transmission and reception process. Hence noise reduction has been a conventional issue in medical image processing. The main aim of this work is to denoise the high noise density image efficiently, with minimal computation cost. In this paper, an image denoising technique based on Discrete Wavelet Transform (DWT) and Social Spider Optimization (SSO) algorithm is proposed.

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Medical images

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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