Two-dimensional Fourier Transform in Image Noise Rejection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F99%3A0003317" target="_blank" >RIV/60461373:22340/99:0003317 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Two-dimensional Fourier Transform in Image Noise Rejection

Popis výsledku v původním jazyce

Fundamental problems of image processing include analysis, noise rejection, edge detection, identification and classifiction of the image data. This paper presents basic mathematical methods and algorithms which can be used for analysis of the im with the application of the two-dimensional discrete Fourier transform, and its subsequent processing with the application of the two-dimensional Finite Impulse Response (FIR) filter. Design of the convolution kernel for such a filter forms t of this paper. Simple methods using moving matrix averaging are compared with sophisticated methods based upon given cutoff frequencies and given precission. Matrix convolution in the time domain is then compare to the multiple of individual transforms in the frequency domain. Additive noise cancelling is first applied to simulated image data to validate the proposed methods. Resulting algorithms are then applied to

Název v anglickém jazyce

Two-dimensional Fourier Transform in Image Noise Rejection

Popis výsledku anglicky

Fundamental problems of image processing include analysis, noise rejection, edge detection, identification and classifiction of the image data. This paper presents basic mathematical methods and algorithms which can be used for analysis of the im with the application of the two-dimensional discrete Fourier transform, and its subsequent processing with the application of the two-dimensional Finite Impulse Response (FIR) filter. Design of the convolution kernel for such a filter forms t of this paper. Simple methods using moving matrix averaging are compared with sophisticated methods based upon given cutoff frequencies and given precission. Matrix convolution in the time domain is then compare to the multiple of individual transforms in the frequency domain. Additive noise cancelling is first applied to simulated image data to validate the proposed methods. Resulting algorithms are then applied to

Druh

A - Audiovizuální tvorba

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

—

Projekt

—

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

1999

Kód důvěrnosti údajů

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

ISBN

80-227-1228-0

Místo vydání

Bratislava, Slovakia

Název nakladatele resp. objednatele

12th Conference Process Control '99

Verze

—

Identifikační číslo nosiče

—