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SCALESPACE
2005
Springer

Estimation of the Optimal Variational Parameter via SNR Analysis

9 years 20 days ago
Estimation of the Optimal Variational Parameter via SNR Analysis
We examine the problem of finding the optimal weight of the fidelity term in variational denoising. Our aim is to maximize the signal to noise ratio (SNR) of the restored image. A theoretical analysis is carried out and several bounds are established on the performance of the optimal strategy and a widely used method, wherein the variance of the residual part equals the variance of the noise. A necessary condition is set to achieve maximal SNR. We provide a practical method for estimating this condition and show that the results are sufficiently accurate for a large class of images, including piecewise smooth and textured images.
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where SCALESPACE
Authors Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
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