Publications related to The SURE-LET Approach to Image Denoising

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Benefits of consistency in image denoising with steerable wavelets

Michaël Unser, Emrah Bostan, Ulugbek Kamilov, Bugra Tekin

The steerable wavelet transform is a redundant image representation with the remarkable property that its basis functions can be adaptively rotated to a desired orientation. This makes the transform well-suited to the design of wavelet-based algorithms app ...

2013

Benefits Of Consistency In Image Denoising With Steerable Wavelets

Michaël Unser, Emrah Bostan, Ulugbek Kamilov, Bugra Tekin

Ieee2013

Benefits of Consistency in Image Denoising with Steerable Wavelets

Michaël Unser, Emrah Bostan, Ulugbek Kamilov

IEEE2013

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Michaël Unser, Stamatios Lefkimmiatis

We introduce a generic convex energy functional that is suitable for both grayscale and vector-valued images. Our functional is based on the eigenvalues of the structure tensor, therefore it penalizes image variation at every point by taking into account t ...

Springer2013

Graph Matching for Adaptation in Remote Sensing

Devis Tuia

We present an adaptation algorithm focused on the description of the data changes under different acquisition conditions. When considering a source and a destination domain, the adaptation is carried out by transforming one data set to the other using an a ...

Ieee-Inst Electrical Electronics Engineers Inc2013

3D Steerable Wavelets in Practice

Michaël Unser

We introduce a systematic and practical design for steerable wavelet frames in 3D. Our steerable wavelets are obtained by applying a 3D version of the generalized Riesz transform to a primary isotropic wavelet frame. The novel transform is self-reversible ...

Institute of Electrical and Electronics Engineers2012

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

Michaël Unser, Emrah Bostan, Ulugbek Kamilov

We introduce a new wavelet-based method for the implementation of Total-Variation-type denoising. The data term is least-squares, while the regularization term is gradient-based. The particularity of our method is to exploit a link between the discrete gra ...

IEEE2012

Image Denoising in Mixed Poisson-Gaussian Noise

Michaël Unser, Thierry Blu, Florian Luisier

We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson-Gaussian noise. We express the denoising process as a linear expansion of thresholds ...

Institute of Electrical and Electronics Engineers2011

3D Steerable Wavelets And Monogenic Analysis For Bioimaging

Michaël Unser

In this paper we introduce a 3D wavelet frame that has the key property of steerability. The proposed wavelet frame relies on the combination of a 3D isotropic wavelet transform with the 3D Riesz operator which brings steerability to the pyramid. The novel ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

The SURE-LET Approach to Image Denoising

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Benefits of consistency in image denoising with steerable wavelets

Benefits Of Consistency In Image Denoising With Steerable Wavelets

Benefits of Consistency in Image Denoising with Steerable Wavelets

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Graph Matching for Adaptation in Remote Sensing

3D Steerable Wavelets in Practice

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

Learning Pattern Transformation Manifolds for Classification

Image Denoising in Mixed Poisson-Gaussian Noise

3D Steerable Wavelets And Monogenic Analysis For Bioimaging

Benefits of consistency in image denoising with steerable wavelets

Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

Benefits of Consistency in Image Denoising with Steerable Wavelets

Graph Matching for Adaptation in Remote Sensing

Wavelet Shrinkage With Consistent Cycle Spinning Generalizes Total Variation Denoising

3D Steerable Wavelets in Practice

Learning Pattern Transformation Manifolds for Classification

3D Steerable Wavelets And Monogenic Analysis For Bioimaging

Image Denoising in Mixed Poisson-Gaussian Noise

Benefits Of Consistency In Image Denoising With Steerable Wavelets