Sciweavers

CVPR
2012
IEEE
11 years 6 months ago
Image denoising: Can plain neural networks compete with BM3D?
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with c...
Harold Christopher Burger, Christian J. Schuler, S...
CORR
2011
Springer
205views Education» more  CORR 2011»
12 years 10 months ago
Detection of objects in noisy images and site percolation on square lattices
Abstract: We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algori...
Mikhail A. Langovoy, Olaf Wittich
ICIP
2010
IEEE
13 years 1 months ago
Learning denoising bounds for noisy images
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
Priyam Chatterjee, Peyman Milanfar
VMV
2000
157views Visualization» more  VMV 2000»
13 years 5 months ago
Visualization of Principal Curvature Directions by Anisotropic Diffusion
Anisotropic diffusion is known to be a powerful tool in image processing. It enables the smoothing of initially noisy images while still retaining, respectively sharpening edges a...
Udo Diewald, Martin Rumpf