Title :
Measuring the Global Phase Coherence of an image
Author :
Blanchet, Gwendoline ; Moisan, Lionel ; Rougé, Bernard
Author_Institution :
Centre Nat. d´´Etudes Spatiales, Toulouse
Abstract :
The Fourier phase spectrum of an image is well known to contain crucial information about the image geometry, in particular its contours. In this paper, we show that it is also strongly related to the image quality, in particular its sharpness. We propose a way to define the Global Phase Coherence (GPC) of an image, by comparing the likelihood of the image to the likelihood of all possible images sharing the same Fourier power spectrum. The likelihood is measured with the total variation (Rudin-Osher-Fatemi implicit prior), and the numerical estimation is realized by a Monte-Carlo simulation. We show that the obtained GPC measure decreases with blur, noise, and ringing, and thus provides a new interesting sharpness indicator, that can be used for parametric blind deconvolution, as demonstrated by experiments.
Keywords :
Fourier transforms; Monte Carlo methods; deconvolution; geometry; image processing; Fourier phase spectrum; Fourier power spectrum; Monte-Carlo simulation; Rudin-Osher-Fatemi implicit prior; global phase coherence; image geometry; image quality; Coherence; Deconvolution; Discrete Fourier transforms; Fourier transforms; Image edge detection; Image quality; Image registration; Motion measurement; Noise measurement; Phase measurement; Fourier Transform; image quality; phase information; sharpness; total variation;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4711970