Separating heart sound from lung sound using Non-Local Means filter

Rudnitskii, A. G.

doi:10.1109/elnano.2014.6873980

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Applications Of Non-local Means1

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2015

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“…ultrasound imaging [17][18], diagnosis of heart echo images [19] . It has been used in other applications such as video denoising [20] …”

Section: Applications Of Non-local Meansmentioning

confidence: 99%

Improved Non-Local Means Algorithm Based on Dimensionality Reduction

Maruf

El-Sakka

2015

Lecture Notes in Computer Science

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Non-Local Means is an image denoising algorithm based on patch similarity. It compares a reference patch with the neighboring patches to find similar patches. Such similar patches participate in the weighted averaging process. Most of the computational time for Non-LocalMeans is consumed to measure patch similarity. In this thesis, we have proposed an improvement where the image patches are projected into a global feature space. Then we have performed a statistical t-test to reduce the dimensionality of this feature space.Denoising is achieved based on this reduced feature space and the proposed modification exploits an improvement in terms of denoising performance and computational time.

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“…ultrasound imaging [17][18], diagnosis of heart echo images [19] . It has been used in other applications such as video denoising [20] …”

Section: Applications Of Non-local Meansmentioning

confidence: 99%