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multi-scale wavelet transform

Title :  Development of Multiple Hand Based Biometrics using Multi-resolution FrameworkAuthor (s) : ARULESAN .A, UMMAL SARIBA BEGUM .T

Title : Development of Multiple Hand Based Biometrics using Multi-resolution FrameworkAuthor (s) : ARULESAN .A, UMMAL SARIBA BEGUM .T

... for multi-resolution and multi-scale transforms like 2-D Gabor transform, Radon transform and Wavelet transform along with subspace techniques for extraction of various ...

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Filtering of Seawall GPR Signal by means of Multi Wavelet Transform

Filtering of Seawall GPR Signal by means of Multi Wavelet Transform

... The multi-wavelet is a relatively new development in wavelet ...scalar wavelet, the multi-wavelet is formed by multiple-scale functions or vector-scale ...

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Image segmentation using fuzzy c means clustering method with thresholding for underwater images

Image segmentation using fuzzy c means clustering method with thresholding for underwater images

... classical wavelet transform is effective in representing image feature and thus is suitable in CBIR, it still encounters problems especially in implementation, ...integer-to-integer transform, low ...

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A Robust Adaptive Haar Wavelet Transform 
		global contrast enhancement

A Robust Adaptive Haar Wavelet Transform global contrast enhancement

... Adaptive Multi Scale Retinex (AMSR) is one of the most commonly used algorithms in image enhancement. It can maintain the image fidelity while achieving the dynamic range of image compression. AMSR can ...

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An Efficient Denoising Technique Using Combined Filters with Noise Estimator

An Efficient Denoising Technique Using Combined Filters with Noise Estimator

... 1) Wavelet: A wavelet means a small wave (the sinusoids used in fourier analysis are big waves) and in brief, a wavelet is an oscillation that decays ...the wavelet is a function of zero ...

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An Efficient Denoising Technique Using Filters With Noise Estimator Prerna Sahu, Devanand Bhosle

An Efficient Denoising Technique Using Filters With Noise Estimator Prerna Sahu, Devanand Bhosle

... A wavelet means a small wave (the sinusoids used in fourier analysis are big waves) and in brief, a wavelet is an oscillation that decays ...the wavelet is a function of zero average, having the ...

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Progressive 1-D Discrete Wavelet Transform

Progressive 1-D Discrete Wavelet Transform

... Discrete Wavelet Transform (DWT) is set up on time-scale reintroduction, which outfits powerful multi- ...discrete wavelet change is blended by utilizing Xilinx ...

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IMAGE FUSION USING WAVELET TRANSFORM OF MULTI-FOCUSED IMAGES

IMAGE FUSION USING WAVELET TRANSFORM OF MULTI-FOCUSED IMAGES

... 3. Multi-resolution images to manage different image resolution. Multi-scale information can be useful in number of images processing applications including image ...

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An Approach to Protect the Secret Image Data and Verification of Dealer Using Image Fusion

An Approach to Protect the Secret Image Data and Verification of Dealer Using Image Fusion

... so wavelet analysis is about analyzing signal with short duration finite energy ...is transform based ...discrete wavelet transform based, principal component analysis based ...etc. ...

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Partial Discharge Pattern Recognition Based on Synchrosqueezing Wavelet Transform and Multi Scale Characteristic Parameters

Partial Discharge Pattern Recognition Based on Synchrosqueezing Wavelet Transform and Multi Scale Characteristic Parameters

... The figure 1 and figure 2 shows that the air gap discharge and creeping discharge UHF PD signal energy is concentrated in the more than 400 MHZ band, and the needle plate discharge and suspended discharge UHF PD signal ...

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On the use of Multi-scale Singular Value Decomposition for OFDM Channel Estimation

On the use of Multi-scale Singular Value Decomposition for OFDM Channel Estimation

... and multi path interference (MPI) is the ...on multi-scale singular value decomposition (MS-SVD) for OFDM channel ...of wavelet transform (WT) and singular value decomposition ...

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An Effective and Reliable Computer Automated Technique for Bone Fracture Detection

An Effective and Reliable Computer Automated Technique for Bone Fracture Detection

... Haar Wavelet Transform and Scale-Invariant Feature Transform (SIFT) for feature extraction from original ...Finally Multi Layer Perceptron(MLP) is used for training and improving the ...

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Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering

Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering

... Stripe non-uniformity severely affects the quality of infrared images. It is challenging to remove stripe noise in low- texture images without blurring the details. We propose a single-frame image stripe correction ...

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Edge Detection With Multi-Scale Undecimated Discrete Wavelet Transform

Edge Detection With Multi-Scale Undecimated Discrete Wavelet Transform

... by multi-scale undecimated discrete wavelet ...Haar wavelet is used for this detection which models the theorical representation of an ...

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Wavelet Transform for Classification of EEG Signal using SVM and ANN

Wavelet Transform for Classification of EEG Signal using SVM and ANN

... Fourier transform, Fat Fourier Transform and Short Time Fourier transform, a powerful method was proposed in the late 1980s, known as Wavelet ...transform. Wavelet ...

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Fusion Of Multi Focus Gray-Scale Images Using Generic Multi Resolution Fusion Scheme

Fusion Of Multi Focus Gray-Scale Images Using Generic Multi Resolution Fusion Scheme

... represented as φ (x, y) and three two-dimensional wavelets represented as ψ H (x, y), ψ V (x, y) and ψ D (x, y) are required to compute a two dimensional wavelet transform. These are a product of two ...

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Title: A SURVEY ON MULTIFOCAL DIGITAL IMAGE FUSION USING DIFFERENT TECHNIQUES

Title: A SURVEY ON MULTIFOCAL DIGITAL IMAGE FUSION USING DIFFERENT TECHNIQUES

... In wavelet transform used for image we obtain four wavelet coefficients which are called as horizontal, approximation, vertical and diagonal ...image. Transform fusion uses pyramid or ...

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Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform

Hybrid Segmentation Approach and Preprocessing of Color Image based on Haar Wavelet Transform

... includes wavelet based segmentation which has the advantage of more efficiency, better quality and accuracy of ...method wavelet transforming has the advantage of multi-resolution inboth time ...

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Speech Enhancement Using Wavelet Coefficients Masking with Local Binary Patterns

Speech Enhancement Using Wavelet Coefficients Masking with Local Binary Patterns

... noise. The effectiveness of this scheme relies primarily on the fact that with the LBP codes the value of the original coefficient is encoded with the values of the neighbouring coefficients. Therefore, the coded ...

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Study of Image Fusion Using Discrete Wavelet and Multi Wavelet Transform with MATLAB Simulink

Study of Image Fusion Using Discrete Wavelet and Multi Wavelet Transform with MATLAB Simulink

... Here wavelet transform define the image signal in time domain or space domain, or discrete wavelet transforms provide the platform for spatial domain transform and 16 levels of ...multiwavelet ...

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