Publication

Spatially adaptive wavelet thresholding with context modeling for image denoising

Publications associées (54)

Image security and processing in the JPEG 2000 compressed domain

Digital images are becoming increasingly successful thanks to the development and the facilitated access to systems permitting their generation (i.e. camera, scanner, imaging software, etc). A digital image basically corresponds to a 2D discrete set of reg ...

EPFL2003

Low rate and scalable image coding with redundant representations

Pascal Frossard, Pierre Vandergheynst

New breakthroughs in image coding possibly rely in signal decomposition through non-separable basis functions. The work proposed in this paper provides an adaptive way of representing images as a sum of two-dimensional features. It presents a low bit-rate ...

2003

3D encoding/2D decoding of medical data

Jean-Philippe Thiran, Gloria Menegaz

We propose a fully three-dimensional wavelet-based coding system featuring 3D encoding/2D decoding functionalities. A fully three-dimensional transform is combined with context adaptive arithmetic coding; 2D decoding is enabled by encoding every 2D subband ...

2003

Wavelet de-noising for highly noisy source separation

Kamiar Aminian, Philippe Robert, Anisoara Ionescu, Bijan Najafi

The aim of this paper is to demonstrate that wavelet denoising processing is extremely attractive for efficient source separation of strong noisy mixtures. Systematic numerical simulations using source separation algorithms after wavelet de-noising are use ...

2002

Extension of Wavelet Compression Algorithms to 3D and 4D Image Data: Exploitation of Data Coherence in Higher Dimensions Allows Very High Compression Ratios

Michaël Unser

High resolution multidimensional image data yield huge datasets. For compression and analysis, 2D approaches are often used, neglecting the information coherence in higher dimensions, which can be exploited for improved compression. We designed a wavelet c ...

SPIE2001

Discrete Ridgelet Transforms for Image Representation

Martin Vetterli, Minh Do

The ridgelet transform (Candes and Donoho, 1999) was introduced as a new multiscale representation for functions on continuous spaces that are smooth away from discontinuities along lines. In this paper, we present several discrete versions of the ridgelet ...

2001

Adaptive wavelet thresholding for image denoising and compression

Martin Vetterli

The first part of this paper proposes an adaptive, data-driven threshold for image denoising via wavelet soft-thresh- olding. The threshold is derived in a Bayesian framework, and the prior used on the wavelet coefficients is the generalized Gaussian distr ...

2000

The JPEG2000 still image coding system: An overview

Touradj Ebrahimi

With the increasing use of multimedia technologies, image compression requires higher performance as well as new features. To address this need in the specific area of still image encoding, a new standard is currently being developed, the JPEG2000. It is n ...

2000

High-performance compression of visual information - A tutorial review - Part I : Still Pictures

Touradj Ebrahimi, Murat Kunt

Digital images have become an important source of information in the modern world of communication systems. In their raw form, digital images require a tremendous amount of memory. Many research efforts have been devoted to the problem of image compression ...

1999

Lossy compression and wavelet thresholding for image denoising

Martin Vetterli

In recent work, it was proposed to use lossy compression to remove noise from corrupted signals, based on the rationale that a reasonable compression method retains the dominant signal features more than the randomness of the noise. To further understand a ...

1998

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