12 search results - page 1 / 3 » Context adaptive image denoising through modeling of curvele... |
JEI
2008
13 years 11 months ago
2008
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
PR
2010
13 years 9 months ago
2010
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
ICIP
1998
IEEE
14 years 3 months ago
1998
IEEE
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
SSPR
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. Statistical analysis of spatially uniform signal contexts allows Discrete Universal Denoiser (DUDE) to effectively correct signal errors caused by a discrete symmetric me...
TIP
2008
13 years 11 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...