[HTML][HTML] 2-D Rayleigh autoregressive moving average model for SAR image modeling
Abstract Two-dimensional (2-D) autoregressive moving average (ARMA) models are
commonly applied to describe real-world image data, usually assuming Gaussian or …
commonly applied to describe real-world image data, usually assuming Gaussian or …
Adaptive prediction for lossless image compression
S Marusic, G Deng - Signal Processing: Image Communication, 2002 - Elsevier
Lossless image compression is often performed through decorrelation, context modelling
and entropy coding of the prediction error. This paper aims to identify the potential …
and entropy coding of the prediction error. This paper aims to identify the potential …
Multispectral code excited linear prediction coding and its application in magnetic resonance images
JH Hu, Y Wang, PT Cahill - IEEE Transactions on Image …, 1997 - ieeexplore.ieee.org
This paper reports a multispectral code excited linear prediction (MCELP) method for the
compression of multispectral images. Different linear prediction models and adaptation …
compression of multispectral images. Different linear prediction models and adaptation …
A new two-dimensional block adaptive FIR filtering algorithm and its application to image restoration
T Wang, CL Wang - IEEE transactions on image processing, 1998 - ieeexplore.ieee.org
This paper presents a new two-dimensional (2-D) optimum block stochastic gradient
(TDOBSG) algorithm for 2-D adaptive finite impulse response (FIR) filtering. The TDOBSG …
(TDOBSG) algorithm for 2-D adaptive finite impulse response (FIR) filtering. The TDOBSG …
Estimation of 2-D ARMA model parameters by using equivalent AR approach
A Kızılkaya, AH Kayran - Journal of the Franklin Institute, 2005 - Elsevier
In this paper, the problem of estimating the parameters of a two-dimensional autoregressive
moving-average (2-D ARMA) model driven by an unobservable input noise is addressed. In …
moving-average (2-D ARMA) model driven by an unobservable input noise is addressed. In …
Adaptive combination of linear predictors for lossless image compression
Lossless image coding is an essential requirement for medical imaging applications.
Lossless image compression techniques usually have two major components: adaptive …
Lossless image compression techniques usually have two major components: adaptive …
Image restoration using a conjugate gradient-based adaptive filtering algorithm
KS Joo, T Bose, GF Xu - Circuits, Systems and Signal Processing, 1997 - Springer
A new two-dimensional (2D) sample-based conjugate gradient (SCG) algorithm is
developed for adaptive filtering. This algorithm is based on the conjugate gradient method of …
developed for adaptive filtering. This algorithm is based on the conjugate gradient method of …
Analysis and application of a novel fast algorithm for 2-D ARMA model parameter estimation
Y Xia, Z Deng, WX Zheng - Automatica, 2013 - Elsevier
In this paper, we analyze a novel algorithm for 2-D ARMA model parameter estimation in the
presence of noise and then develop a fast and efficient blind image restoration algorithm …
presence of noise and then develop a fast and efficient blind image restoration algorithm …
Adaptive multiresolution decomposition: application to lossless image compression
H Bekkouche, M Barret - 2002 IEEE International Conference …, 2002 - ieeexplore.ieee.org
In this paper we introduce the use of adaptive filter banks in lossless compression of images
with progressive coding in resolution. During the decomposition the filter adapts itself …
with progressive coding in resolution. During the decomposition the filter adapts itself …
Adapted generalized lifting schemes for scalable lossless image coding
H Bekkouche, M Barret, J Oksman - Signal Processing, 2008 - Elsevier
Still image coding occasionally uses linear predictive coding together with multi-resolution
decompositions, as may be found in several papers. Those related approaches do not take …
decompositions, as may be found in several papers. Those related approaches do not take …