wavelet representation
Warplets : an image dependent wavelet representation
... ton plus stochastic residual that enabled the synthesis of a range of textures from periodic to random. Moreover, this affine placement model itself can accurately model small structural variations which seem important ...
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Face Representation Using Combined Method of Gabor Filters, Wavelet Transformation and DCV and Recognition Using RBF
... Gabor wavelet representation of face images to obtain a low- dimensional feature representation with enhanced dis- crimination ...Gabor wavelet repre- sentation of face images, then reduce the ...
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Power Quality Analysis of a Grid Connected PV System
... Discrete Wavelet Transform (DWT) became a very versatile signal processing tool after Mallat proposed the multi‐ resolution representation of signals based on wavelet ...result, wavelet ...
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Stain deconvolution using statistical analysis of multi resolution stain colour representation
... In this paper, we presented a novel method for stain deconvolution of histology images using multi-resolution wavelet representation of the image to estimate stain mixing matrix. We pro- pose filtering the ...
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Iterative Estimation Algorithms Using Conjugate Function Lower Bound and Minorization-Maximization with Applications in Image Denoising
... single wavelet representation the performance of the proposed algorithms is better than that of the bi-shrinkage algorithm [39] which is arguably one of the best in recent ...over-complete wavelet ...
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IMAGE STEGANOGRAPHY USING BLOCK COMPLEXITY ANALYSIS
... We segment the wavelet representation of the image into 8x8 blocks and determine the capacity of each block, in terms of bit per pixel, using the BPCS. A random seed is used to determine the order of ...
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4-Tap Wavelet Filters Using Algebraic Integers
... the wavelet domain of an image. The idea of wavelet thresholding relies on the assumption that the signal magnitudes dominate the magnitudes of the noise in a wavelet representation, so that ...
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COMPARATIVE ANALYSIS OF WAVELET TRANSFORM WITH INBUILT WAVELET FUNCTION AND WAVELET TRANSFORM WITHOUTINBUILT WAVELET FUNCTION FOR IMAGE COMPRESSION
... a wavelet representation, we represent our signal in terms of functions that are localized both in time and ...function representation into another. Wavelet transform performs multi-resolution ...
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A COMPREHENSIVE REVIEW ON WAVELET TRANSFORM AND ITS APPLICATIONS
... that wavelet representation can be efficiently implemented with a pyramid architecture using quadrature mirror filters and the original signal can also be reconstructed with a similar ...this ...
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Comparative Study of Vibration Signal Using Wavelet Transform
... wavelet representation. The first step is to discretise the wavelet parameters, which reduce the previously continuous basis set of wavelets to a discrete and orthogonal / ortho normal set of basis ...
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Comparative Analysis of Image Compression Using Wavelet and Ridgelet Transform
... analyse wavelet and ridgelet technique for image ...Haar wavelet, Daubechies wavelet, Symlet wavelet, Coiflet wavelet, Biorthogonal wavelet and Ridgelet Transform have been ...
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Scalable Multiple-Description Image Coding Based on Embedded Quantization
... Next we describe, for a number of two description, the significance and refinement passes performed by the encoder. Starting with the coarsest quantization level p = P , the sig- nificance pass is activated first and the ...
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Super Resolution Image Generation Using Wavelet Domain Inter Polation With Edge Extraction Via A Sparse Representation
... [2].The wavelet technique as a simple sparse representation also plays a significant role in many image processing applications, in particular in resolution enhancement, and recently, many novel algorithms ...
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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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Classification of Tumors in Brain MRI Images With Hybrid of Global and Local DWT Features using Decision Tree
... Stationary Wavelet Transformation (SWT) which has superior wavelet coefficients as compared to DWT in terms of translation invariant property is proposed by Zhang et al ...
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A representation of a compressed de Bruijn graph for pan-genome analysis that enables search
... the wavelet tree of the document array and two select data structures for the wavelet tree of the BWT to calculate ...implicit representation of the graph, which must be kept in main memory, is ...
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Assessment of wavelet-based representation techniques for the characterization of stochastic processes modelling pulse-like strong ground motions
... that wavelet analysis aiming for higher frequency resolution in low frequencies, as one would intuitively use to detect low frequency pulses in recorded accelerograms, has been ...considered wavelet-based ...
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SELECTION OF OPTIMAL BASE WAVELET FOR IMAGE COMPRESSION
... function and its dilation and translation to generate a set of orthonormal basis functions to represent a signal. Number of such functions is infinite and we choose one that suits to our application. The range of ...
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Image Retrieval Using Modified Haar Wavelet Transform and K Means Clustering
... Haar wavelet basis can be used to represent this image by computing a wavelet transform [11]. Consider the pairs of pixels (8; 10) and (6; 4), take the average of each pair, 9 and 5, and then record this ...
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Denoising of Poisson and Rician Noise from Medical Images using Variance Stabilization and Multiscale Transforms
... Discrete wavelet transform, Un- decimated wavelet transform, Dual tree Complex wavelet trans- form, Double Density discrete wavelet transform and Double den- sity dual tree complex ...
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