Fast Estimate of Hartley Entropy in Image Sharpening

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Fast Estimate of Hartley Entropy in Image Sharpening

Original language description

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.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

—

Project

<a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>

Continuities

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

Publication year

2016

Confidentiality

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

Article name in the collection

Applications of Digital Image Processing XXXIX

ISBN

978-1-5106-0333-2

ISSN

0277-786X

e-ISSN

—

Number of pages

6

Pages from-to

—

Publisher name

SPIE

Place of publication

Bellingham

Event location

San Diego, California

Event date

Aug 29, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000390023100075