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wavelet based filtering methods

Efficient analysis of DWT thresholding algorithm for medical image de noising

Efficient analysis of DWT thresholding algorithm for medical image de noising

... analysis based on objective and subjective test for filtering methods of the adaptive non-linear thresholding domain in discrete wavelet transform ...best filtering method to remove the ...

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Wavelet Decomposition On Histogram Based Medical Image Contrast Enhancement Using Homomorphic Filtering

Wavelet Decomposition On Histogram Based Medical Image Contrast Enhancement Using Homomorphic Filtering

... such methods are included as adaptive histogram equalization, and a contrast limiting adaptive histogram equalization or CLAHE, or a multipeak histogram equalization ...

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An approach to melodic segmentation and classification based on filtering with the Haar wavelet

An approach to melodic segmentation and classification based on filtering with the Haar wavelet

... a wavelet-based approach to representing and segmenting the data can out-perform one that uses a direct pitch-time representation and Gestalt-based or constant-duration segmentation in the task of ...

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Nonlinear filtering based on 3D wavelet transform for MRI denoising

Nonlinear filtering based on 3D wavelet transform for MRI denoising

... denoising methods have traditionally been applied to improve MR image ...the wavelet transform (WT)-based bilateral filtering for Rician noise ...of wavelet, 3D WT was employed to ...

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An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

An Adaptive Hierarchical Method Based on Wavelet and Adaptive Filtering for MRI Denoising

... conventional methods [45] reduce the impairment effects from image ...conventional methods. Ehsaeyan et al. [46] are used contourlet transform based on its benefit to capture the oriented geometrical ...

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Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images

Unified wavelet and gaussian filtering for segmentation of CT images; application in segmentation of bone in pelvic CT images

... using methods that are based on deformable models (DMM) ...Model Methods (DMM) [9-13] are para- metric segmentation methods that use closed curves or surfaces that can be deformed under ...

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APPLICATION OF SUBBAND ADAPTIVE THRESHOLDING TECHNIQUE WITH NEIGHBOURHOOD PIXEL FILTERING FOR DENOISING MRI IMAGES

APPLICATION OF SUBBAND ADAPTIVE THRESHOLDING TECHNIQUE WITH NEIGHBOURHOOD PIXEL FILTERING FOR DENOISING MRI IMAGES

... diagnosis based on these ...of wavelet packets allows adaptive representation for a given ...with wavelet decomposition for image enhancement, specifically edge enhancement and edge ...MDL ...

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Wavelet Based Method for Enhancement Quality of ECG using DTCWT with Adaptive Filtering

Wavelet Based Method for Enhancement Quality of ECG using DTCWT with Adaptive Filtering

... using wavelet transform and support vector ...extraction methods are applied collected to accomplish the attribute vector of ECG ...The wavelet transform is used to excavation the quantities of the ...

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Palmprint Verification By Proficient Filtering Using Wavelet

Palmprint Verification By Proficient Filtering Using Wavelet

... coding methods have been developed using Gabor filter such as Competitive code [7] [8], Fusion code [9] and palm ...filters based palm code method in which four Gabor filters of different orientation are ...

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Wavelet packets based denoising method for measurement domain
repeat time multipath filtering in GPS static high precision
positioning

Wavelet packets based denoising method for measurement domain repeat time multipath filtering in GPS static high precision positioning

... multipath filtering techniques need noise reduction meth- ods to remove the white noise in carrier phase measure- ment residuals in order to retrieve the carrier phase multipath corrections for the next ...

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Image Denoising of various images Using Wavelet Transform and Thresholding Techniques

Image Denoising of various images Using Wavelet Transform and Thresholding Techniques

... various filtering techniques. So far there are lots of filtering methods proposed in literature which includes the haar, sym4, and db4 Wavelet Transform based soft and hard thresholding ...

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Denoising of Images Using a Hybrid Image Fusion Algorithm

Denoising of Images Using a Hybrid Image Fusion Algorithm

... proposed based on some denoising filters accompanied by an hybrid image fusion ...fusion methods are principal component analysis (PCA) based fusion, discrete wavelet transform (DWT), ...

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Spatio - Temporal Video Denoising by Block - Based Motion detection

Spatio - Temporal Video Denoising by Block - Based Motion detection

... adapted based on local image ...domain filtering methods is given in ...(e.g., wavelet transform) and then transform coefficients of original signal are recovered ...pixel based motion ...

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Possibility for Recognition of Psychic Brain Activity with Continuous Wavelet Analysis of EEG

Possibility for Recognition of Psychic Brain Activity with Continuous Wavelet Analysis of EEG

... mathematical methods for analysis of electroence- phalogram (EEG) were developed with continuous wavelet transform being one of the most successive approaches for studying of brain ...develop methods ...

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Sparse data structure design for wavelet-based methods

Sparse data structure design for wavelet-based methods

... multigrid methods, adaptive mesh refinement, among others, have produced significant advances in understanding multiscale problems ...adaptive methods needs a greater exchange of information among disparate ...

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A Comparative Study on Medical Image Denoising in Hybrid domain

A Comparative Study on Medical Image Denoising in Hybrid domain

... denoising methods have been introduced for removal of noises from medical images , noises that are mostly occurring in medical images are Gaussian noise, salt and pepper noise[3] and speckle noise ...denoising ...

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Comparison of Medical Image Fusion Algorithm for Preserving the Edge Information Based On Improved Wavelet Coefficient Contrast

Comparison of Medical Image Fusion Algorithm for Preserving the Edge Information Based On Improved Wavelet Coefficient Contrast

... The visual experiments and the quantitative analysis demonstrate that the proposed medical image fusion method can preserve the important structure information such as edges of organs, outlines of tumors compared to ...

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OPTIMAL PARAMETERS SELECTION TO REDUCE CUTTING TEMPERATURE OF MILD STEEL USING 
PARTICLE SWARM OPTIMIZATION INTELLIGENT TECHNIQUE

OPTIMAL PARAMETERS SELECTION TO REDUCE CUTTING TEMPERATURE OF MILD STEEL USING PARTICLE SWARM OPTIMIZATION INTELLIGENT TECHNIQUE

... Gaussian filtering, block partitioning process is carried out where image is split into separate ...performed based on the dissimilarity so that the connected blocks are chosen to find the representative of ...

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Image Enhancement Techniques for Fingerprint Identification

Image Enhancement Techniques for Fingerprint Identification

... 4. Filtering: The image is converted from the spatial domain to frequency domain by application of 2D Fourier Transform. This image is then filtered through 16 Butterworth filters with each filter tuned to a ...

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ECG Signal Analysis using Wavelet Filtering

ECG Signal Analysis using Wavelet Filtering

... Evidence of biomedical engineering can be found everywhere in modern medicine. Bio-medical engineering offers various advantages over like reduction in hospitalization cost, automated and quick reports, and patient care ...

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