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» The Use of Residuals in Image Denoising
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DAGM
2001
Springer
14 years 1 months ago
Scale Adaptive Filtering Derived from the Laplace Equation
In this paper, we present a new approach to scale-space which is derived from the 3D Laplace equation instead of the heat equation. The resulting lowpass and bandpass filters are...
Michael Felsberg, Gerald Sommer
TIP
2010
154views more  TIP 2010»
13 years 3 months ago
Efficient Fourier-Wavelet Super-Resolution
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...
M. Dirk Robinson, Cynthia A. Toth, Joseph Y. Lo, S...
ICIP
2007
IEEE
14 years 10 months ago
Acquisition and Encoding of High Dynamic Range Images using Inverse Tone Mapping
A two layer coding algorithm for high dynamic range images is discussed. In the first layer, a low dynamic range image is encoded by a conventional codec, and then the residual in...
Takao Jinno, Masahiro Okuda, Nicola Adami
CVPR
2011
IEEE
13 years 4 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
JMIV
2007
167views more  JMIV 2007»
13 years 8 months ago
A Variational Approach to Reconstructing Images Corrupted by Poisson Noise
We propose a new variational model to denoise an image corrupted by Poisson noise. Like the ROF model described in [1] and [2], the new model uses total-variation regularization, w...
Triet Le, Rick Chartrand, Thomas J. Asaki