Combined image compression and denoising using wavelets

Authors:
V. Bruni;D. Vitulano
Affiliations:
Istituto per le Applicazioni del Calcolo "M.Picone", C.N.R., Viale del Policlinico 137, 00161 Rome, Italy;Istituto per le Applicazioni del Calcolo "M.Picone", C.N.R., Viale del Policlinico 137, 00161 Rome, Italy
Venue:
Image Communication
Year:
2007

Citing 32
Cited 3

Fundamentals of digital image processing

Fundamentals of digital image processing
Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction

IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets

Ten lectures on wavelets
Orthonormal ridgelets and linear singularities

SIAM Journal on Mathematical Analysis
Digital Image Processing

Digital Image Processing
Image Coding based on Mixture Modeling of Wavelet Coefficients and a Fast Estimation-Quantization Framework

DCC '97 Proceedings of the Conference on Data Compression
Wavelet-based signal de-noising via simple singularities approximation

Signal Processing
Image denoising via wavelet-domain spatially adaptive FIR Wiener filtering

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way

A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Filtering random noise from deterministic signals via datacompression

IEEE Transactions on Signal Processing
Embedded image coding using zerotrees of wavelet coefficients

IEEE Transactions on Signal Processing
Filtering of colored noise for speech enhancement and coding

IEEE Transactions on Signal Processing
Wavelet footprints: theory, algorithms, and applications

IEEE Transactions on Signal Processing
An architecture for lossy compression of waveforms usingpiecewise-linear approximation

IEEE Transactions on Signal Processing
Statistical imaging and complexity regularization

IEEE Transactions on Information Theory
MDL denoising

IEEE Transactions on Information Theory
On optimal quantization of noisy sources

IEEE Transactions on Information Theory
Optimum mean-square quantization of a noisy input (Corresp.)

IEEE Transactions on Information Theory
Source encoding in the presence of random disturbance (Corresp.)

IEEE Transactions on Information Theory
Transmission of noisy information to a noisy receiver with minimum distortion

IEEE Transactions on Information Theory
Indirect rate distortion problems

IEEE Transactions on Information Theory
Singularity detection and processing with wavelets

IEEE Transactions on Information Theory - Part 2
A unified approach for encoding clean and noisy sources by means of waveform and autoregressive model vector quantization

IEEE Transactions on Information Theory
De-noising by soft-thresholding

IEEE Transactions on Information Theory
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image coding based on a morphological representation of wavelet data

IEEE Transactions on Image Processing
Spatially adaptive wavelet thresholding with context modeling for image denoising

IEEE Transactions on Image Processing
Adaptive wavelet thresholding for image denoising and compression

IEEE Transactions on Image Processing
Complexity-regularized image denoising

IEEE Transactions on Image Processing
The curvelet transform for image denoising

IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain

IEEE Transactions on Image Processing
The mean field theory in EM procedures for blind Markov random field image restoration

IEEE Transactions on Image Processing

Restoration of images corrupted by Gaussian and uniform impulsive noise

Pattern Recognition
A hybrid system based on information gain and principal component analysis for the classification of transcranial Doppler signals

Computer Methods and Programs in Biomedicine
Directionlet-based denoising of SAR images using a Cauchy model

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel scheme for simultaneous compression and denoising of images: WISDOW-Comp (Wavelet based Image and Signal Denoising via Overlapping Waves-Compression). It is based on the atomic representation of wavelet details employed in WISDOW for image denoising. However, atoms can be also used for achieving compression. In particular, the core of WISDOW-Comp consists of recovering wavelet details, i.e. atoms, by exploiting wavelet low frequency information. Therefore, just the approximation band and significance map of atoms absolute maxima have to be encoded and sent to the decoder for recovering a cleaner as well as compressed version of the image under study. Experimental results show that WISDOW-Comp outperforms the state of the art of compression based denoisers in terms of both rate and distortion. Some technical devices will also be investigated for further improving its performances.