Title :
A spectral retouching tool for removing repetitive image noise
Author :
Jung, Hannes ; Burger, Wilhelm
Author_Institution :
Digital Media Dept., Upper Austria Univ. of Appl. Sci., Hagenberg, Austria
Abstract :
This paper describes a method and implementation for removing global, repetitive 2D artifacts in images by interactively editing their Fourier spectra. Based on this concept, ldquoInSpectralrdquo is an interactive software application that provides intuitive and easy-to-use image editing functionality in the spectral domain with immediate visual feedback in the spatial domain.
Keywords :
Fourier analysis; image denoising; spectral analysis; Fourier spectra; InSpectral; image editing; interactive software application; repetitive 2D artifacts; repetitive image noise removal; spatial domain; spectral domain; spectral retouching tool; visual feedback; Application software; Convolution; Digital cameras; Discrete Fourier transforms; Fast Fourier transforms; Fourier transforms; Frequency domain analysis; Informatics; Nonlinear filters; Printing; Discrete Fourier transform; ImageJ; Java; denoising; frequency domain editing; image retouching; repetitive pattern removal;
Conference_Titel :
ELMAR, 2009. ELMAR '09. International Symposium
Conference_Location :
Zadar
Print_ISBN :
978-953-7044-10-7
