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adaptive wavelet

Image Characterization Based Adaptive Wavelet Transform in Image Retrieval

Image Characterization Based Adaptive Wavelet Transform in Image Retrieval

... on adaptive wavelet ...discrete wavelet transform and different distance calculation. The adaptive wavelet transform is better retrieval performance, less computation time and less ...

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Adaptive wavelet thresholding for image denoising using sure minimization and clustering of wavelet coefficients

Adaptive wavelet thresholding for image denoising using sure minimization and clustering of wavelet coefficients

... the adaptive wavelet thresholding method for image denoising using SURE minimization and clustering of wavelets provides significant improvement in comparison to the existing image denoising ...

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Adaptive Wavelet Transform Method to Identify Cracks in Gears

Adaptive Wavelet Transform Method to Identify Cracks in Gears

... Morlet wavelet was used to obtain the adaptive wavelet ...Morlet wavelet is ...Morlet wavelet, the same parameters are applied as described ...optimized wavelet filter for ...

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An Enhanced Adaptive Wavelet Transform Image Inpainting Technique

An Enhanced Adaptive Wavelet Transform Image Inpainting Technique

... The exemplar-based inpainting algorithms performed well for missing regions consisting of simple structure and texture.The exemplar-based inpainting algorithms have performed plausible results for inpainting the large ...

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Estimation of harmonics using adaptive 
		wavelet neural network

Estimation of harmonics using adaptive wavelet neural network

... In this paper the muliple layer feed forward neural network based adaptive wavelet neural network (AWNN) is implemented for estimating the harmonics. The proposed scheme is implemented in various signals ...

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Adaptive Wavelet Filtering for Data Enhancement in Wireless Sensor Networks

Adaptive Wavelet Filtering for Data Enhancement in Wireless Sensor Networks

... the wavelet transforms for all circular shifts and selecting the “best” one that minimizes a cost function [7], to using the entropy criterion [10] and adaptively decomposing a signal in a tree structure so as to ...

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WAVETRISK-1.0: an adaptive wavelet hydrostatic dynamical core

WAVETRISK-1.0: an adaptive wavelet hydrostatic dynamical core

... the adaptive wavelet method in the previous section; however, to be prac- tically useful for a dynamical core, the method must be ex- tended to the sphere and ...

21

Stack run adaptive wavelet image compression

Stack run adaptive wavelet image compression

... An adaptive wavelet packet image coding algorithm based on stack-run representation of the quantized transform coefficients is presented. Our coder is relatively simple and does not need to maintain any ...

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Underwater Image De-noising by using Adaptive Wavelet Transformation

Underwater Image De-noising by using Adaptive Wavelet Transformation

... The proposed system is an initiative to solve the above problem. The system is motivated from the literature survey of the wavelet transformation technique. In this system preprocessing is done on the underwater ...

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A robust adaptive wavelet based method for classification of meningioma histology images

A robust adaptive wavelet based method for classification of meningioma histology images

... the adaptive wavelet based analysis approach developed in [1, 3] and improve it so that it is robust to inter and intra-class ...a wavelet decomposition repre- sents different textural ...

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An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration

An Adaptive Wavelet based Fusion Approach for Efficient Image Restoration

... stationary wavelet change (SWT) are connected to the fusion of the low-recurrence coefficients; an enhanced PCNN demonstrate is utilized to the fusion of the high-recurrence coefficients; thirdly, the last ...

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Adaptive wavelet estimations for the derivative of a density in GARCH type model

Adaptive wavelet estimations for the derivative of a density in GARCH type model

... Non-parametric estimations of a density and regression function are widely investigated in the literature [12, 14, 16]. It is well known that the estimations for the derivatives of a density are also important and ...

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IMPROVED INTELLIGENT IMAGE
COMPRESSION WITH ADAPTIVE
WAVELET THRESHOLD FOR IMAGE
DENOISING

IMPROVED INTELLIGENT IMAGE COMPRESSION WITH ADAPTIVE WAVELET THRESHOLD FOR IMAGE DENOISING

... the wavelet- domain has applications in image compression, estimation, and ...or wavelet-based image processing applications [16], ...the wavelet coefficients of a large set of natural ...

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Adaptive Wavelet Estimation of a Biased Density for Strongly Mixing Sequences

Adaptive Wavelet Estimation of a Biased Density for Strongly Mixing Sequences

... The rest of the paper is organized as follows. Section 2 is devoted to the assumptions on the model. In Section 3, we present wavelets and Besov balls. The considered wavelet estimators are defined in Section 4. ...

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Adaptive wavelet image compression

Adaptive wavelet image compression

... Finally, a progressive wavelet packet image coding algorithm which applies the new basis selection paradigm, combining this cost estimator with the new compatible zerotree quantization, [r] ...

212

Adaptive wavelet estimation of the diffusion coefficient under additive error measurements

Adaptive wavelet estimation of the diffusion coefficient under additive error measurements

... with wavelet thresholding, we construct adaptive estimators that achieve a nearly optimal rate within a large scale of smoothness constraints of Besov ...

31

How to predict accurate wavelet grids in adaptive semi-Lagrangian schemes?

How to predict accurate wavelet grids in adaptive semi-Lagrangian schemes?

... the wavelet scheme in Section 2, and postpone the fine details and results to Section ...the wavelet representation is recalled in the next section, for the readers who are not familiar with the ...the ...

15

Despeckling of SAR Images Using Wavelet Based Spatially Adaptive Method

Despeckling of SAR Images Using Wavelet Based Spatially Adaptive Method

... the wavelet-based approaches for reducing the speckle in the SAR ...the wavelet coefficients of the log-transformed SAR images provides a better speckle reduction than the conventional spatial domain ...

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Meningioma classification using an adaptive discriminant wavelet packet transform

Meningioma classification using an adaptive discriminant wavelet packet transform

... The aim of the methods described above is to come up with a multiresolution wavelets decomposition that represents the salient characteristics of the texture classes being compared. The result is a pseudo probability ...

255

Analysis of Exemplar Base Inpainting for Adaptive Patch Propagation using Wavelet Transform

Analysis of Exemplar Base Inpainting for Adaptive Patch Propagation using Wavelet Transform

... Thus we recommend the adaptive wavelet transform method for better image quality. It is capable of producing amazing results in reference to time. It takes minimum process time compared to exemplar based ...

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