Improved spatially adaptive MDL denoising of images using normalized maximum likelihood density

Meena, Srinivasan; Annadurai, S.

doi:10.1016/j.imavis.2008.04.011

Cited by 4 publications

(3 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The length of the description is defined by the negative logarithm of the so‐called normalised maximum‐likelihood (NML) expression [34, 36]. The NML represents a universal model supposing a parametric distribution profile with parameters

\overset{false^}{θ} ()(, y^{n})

as follows [54–56]:

f_{n m l} ()(, y^{n}) = \frac{f ()(, y^{n}; \overset{false^}{θ} ()(, y^{n}))}{\int_{A} f (z^{n}; \hat{θ} (y^{n})) d z^{n}} .

where A represents the set of coefficients with length n .

\overset{false^}{θ} ()(, y^{n})

is the NML estimate of the parameters.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Effects of ageing and Alzheimer disease on haemodynamic response function: a challenge for event‐related fMRI

Asemani

Morsheddost

Shalchy

2017

Healthcare Technology Letters

View full text Add to dashboard Cite

Functional magnetic resonance imaging (fMRI) can generate brain images that show neuronal activity due to sensory, cognitive or motor tasks. Haemodynamic response function (HRF) may be considered as a biomarker to discriminate the Alzheimer disease (AD) from healthy ageing. As blood-oxygenation-level-dependent fMRI signal is much weak and noisy, particularly for the elderly subjects, a robust method is necessary for HRF estimation to efficiently differentiate the AD. After applying minimum description length wavelet as an extra denoising step, deconvolution algorithm is here employed for HRF estimation, substituting the averaging method used in the previous works. The HRF amplitude peaks are compared for three groups HRF of young, non-demented and demented elderly groups for both vision and motor regions. Prior works often reported significant differences in the HRF peak amplitude between the young and the elderly. The authors’ experimentations show that the HRF peaks are not significantly different comparing the young adults with the elderly (either demented or non-demented). It is here demonstrated that the contradictory findings of the previous studies on the HRF peaks for the elderly compared with the young are originated from the noise contribution in fMRI data.

show abstract

\overset{false^}{θ} ()(, y^{n})

as follows [54–56]:

f_{n m l} ()(, y^{n}) = \frac{f ()(, y^{n}; \overset{false^}{θ} ()(, y^{n}))}{\int_{A} f (z^{n}; \hat{θ} (y^{n})) d z^{n}} .

where A represents the set of coefficients with length n .

\overset{false^}{θ} ()(, y^{n})

is the NML estimate of the parameters.…”

Section: Methodsmentioning

confidence: 99%

“…The length of the description is defined by the negative logarithm of the so-called normalised maximumlikelihood (NML) expression [34,36]. The NML represents a universal model supposing a parametric distribution profile with parametersû y n as follows [54][55][56]:…”

Section: R-mdl Algorithmmentioning

confidence: 99%

Effects of ageing and Alzheimer disease on haemodynamic response function: a challenge for event‐related fMRI

Asemani

Morsheddost

Shalchy

2017

Healthcare Technology Letters

View full text Add to dashboard Cite

show abstract

“…Secondly, this statistical framework does not assume that there exists some under lying ''true'' model. 21 Thus, MDL principle gives a natural clustering criterion by minimization of the codelength achieved for the observed signal. A criterion is defined by the negative logarithm of a normalized maximum-likelihood (NML) density function.…”

Section: Principle With Normalized Maximum-likelihood Densitymentioning

confidence: 99%

Vibration signals denoising using minimum description length principle for detecting impulsive signatures

Wang

Xiang

Jiang

et al. 2013

Proceedings of the Institution of Mechanical Engineers, Part C:

View full text Add to dashboard Cite

Vibration signals are usually affected by noise, which is in turn related to the measurement and data processing procedures. This paper presents a new subband adaptive denoising method for detective impulsive signatures based on minimum description length principle with improved normalized maximum likelihood density model. The threshold of the proposed denoising method is determined automatically without the need to estimate the noise variance. The effectiveness of the proposed denoising method over VisuaShrink, BayesShrink and minimum description length denoising methods are given through simulation and practical applications.

show abstract

Effects of aging on BOLD hemodynamic response: Healthy aging versus Alzheimer disease

Morsheddost

Asemani

Shalchy

2014

2014 22nd Iranian Conference on Electrical Engineering (ICEE)

View full text Add to dashboard Cite

Improved spatially adaptive MDL denoising of images using normalized maximum likelihood density

Cited by 4 publications

References 13 publications

Effects of ageing and Alzheimer disease on haemodynamic response function: a challenge for event‐related fMRI

Effects of ageing and Alzheimer disease on haemodynamic response function: a challenge for event‐related fMRI

Vibration signals denoising using minimum description length principle for detecting impulsive signatures

Effects of aging on BOLD hemodynamic response: Healthy aging versus Alzheimer disease

Contact Info

Product

Resources

About