16 search results - page 3 / 4 » Learning denoising bounds for noisy images |
84
Voted
SSPR
2004
Springer
15 years 3 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...
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understo...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The MUSIC algorithm, and its extension for imaging sparse extended objects, with noisy data is analyzed by compressed sensing (CS) techniques. A thresholding rule is developed to a...
CORR
2010
Springer
14 years 8 months ago
2010
Springer
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
NN
2007
Springer
14 years 9 months ago
2007
Springer
Several scientists suggested that certain perceptual qualities are based on sensorimotor anticipation: for example, the softness of a sponge is perceived by anticipating the sensa...