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» The Use of Residuals in Image Denoising
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ICIP
2002
IEEE
14 years 10 months ago
Applications of multiwavelet techniques to image denoising
The developments in wavelet theory have given rise to the wavelet thresholding method, for extracting a signal from noisy data [1,2]. Multiwavelets, wavelets with several scaling ...
Aysin Ertüzün, Erdem Bala
TIP
2008
127views more  TIP 2008»
13 years 8 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu
ICIP
2001
IEEE
14 years 10 months ago
The curvelet transform for image denoising
We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform [3] and the curvelet transform [7, 6]. Our implementations offer...
Emmanuel J. Candès
TIP
2002
130views more  TIP 2002»
13 years 8 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
GRAPHICSINTERFACE
2000
13 years 10 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...