Fast Estimate of Hartley Entropy in Image Sharpening

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00305615" target="_blank" >RIV/68407700:21230/16:00305615 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2237743" target="_blank" >http://dx.doi.org/10.1117/12.2237743</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2237743" target="_blank" >10.1117/12.2237743</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Fast Estimate of Hartley Entropy in Image Sharpening

Popis výsledku v původním jazyce

Two classes of linear IIR filters: Laplacian of Gaussian (LoG) and Difference of Gaussians (DoG) are frequently used as high pass filters for contextual vision and edge detection. They are also used for image sharpening when linearly combined with the original image. Resulting sharpening filters are radially symmetric in spatial and frequency domains. Our approach is based on the radial approximation of unknown optimal filter, which is designed as a weighted sum of Gaussian filters with various radii. The novel filter is designed for MRI image enhancement where the image intensity represents anatomical structure plus additive noise. We prefer the gradient norm of Hartley entropy of whole image intensity as a measure which has to be maximized for the best sharpening. The entropy estimation procedure is as fast as FFT included in the filter but this estimate is a continuous function of enhanced image intensities. Physically motivated heuristic is used for optimum sharpening filter design by its parameter tuning. Our approach is compared with Wiener filter on MRI images.

Název v anglickém jazyce

Fast Estimate of Hartley Entropy in Image Sharpening

Popis výsledku anglicky

Two classes of linear IIR filters: Laplacian of Gaussian (LoG) and Difference of Gaussians (DoG) are frequently used as high pass filters for contextual vision and edge detection. They are also used for image sharpening when linearly combined with the original image. Resulting sharpening filters are radially symmetric in spatial and frequency domains. Our approach is based on the radial approximation of unknown optimal filter, which is designed as a weighted sum of Gaussian filters with various radii. The novel filter is designed for MRI image enhancement where the image intensity represents anatomical structure plus additive noise. We prefer the gradient norm of Hartley entropy of whole image intensity as a measure which has to be maximized for the best sharpening. The entropy estimation procedure is as fast as FFT included in the filter but this estimate is a continuous function of enhanced image intensities. Physically motivated heuristic is used for optimum sharpening filter design by its parameter tuning. Our approach is compared with Wiener filter on MRI images.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

<a href="/cs/project/GA14-25251S" target="_blank" >GA14-25251S: Nelineární obrazové systémy s prostorově variantní bodovou rozptylovou funkcí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Applications of Digital Image Processing XXXIX

ISBN

978-1-5106-0333-2

ISSN

0277-786X

e-ISSN

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Počet stran výsledku

6

Strana od-do

—

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

San Diego, California

Datum konání akce

29. 8. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390023100075