vector quantization based algorithm
Image Compression Using Different Vector Quantization Algorithms and Its Comparison
... So, vector quantization is a novel method for lossy image compression that includes codebook design, encoding and decoding ...(Vector quantization- Linde, Buzo and Gray algorithm), ...
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An Analysis of Vector Quantization Based Image Compression Approaches
... optimization algorithm to generate near optimal code book in vector quantization for image ...Mantegna’s algorithm instead of Gaussian ...proposed algorithm having high peak signal ...
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Vector Quantization based Lossy Image Compression using Wavelets – A Review
... on vector quantization (VQ) based lossy image compression using ...transformation based image compression by using vector quantization (VQ) provides good picture quality and ...
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Image Compression using Neural Network
... compression algorithm is needed that will reduce the amount of Image to be transmitted, stored and analyzed, but without losing the information ...network based technique that may be applied to image ...
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A Combined Rough Sets–K-means Vector Quantization Model for Arabic Speech Recognizer
... - Vector quantization (VQ), is considered an efficient data reduction technique, and is used as a preprocessing stage in speech recognition ...for vector quantization are purely numerical ...
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Vector Quantization for Image Compression using Repulsion based FPCM
... The index of the codeword of a block is encoded utilizing the degree of the resemblance of the block with formerly encoded upper or left blocks. When the degree of the resemblance of the existing block with one of the ...
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Fast Learning Algorithm for Fuzzy Inference Systems using Vector Quantization
... In this paper, we proposed a new learning method com- posed of iterating three stages. It started by breaking the method into three stages: learning in the first stage, inter- mediate stage adjusting the center and width ...
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Efficient Image Compression Technique Based On Vector Quantization Using Social Spider Optimization Algorithm
... LBG algorithm for codebook ...SS algorithm to satisfy the need of the global convergence and the characteristics of global convergence ...SS algorithm has the property of searching local as well as ...
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Image Compression using DCT based Compressive Sensing and Vector Quantization
... the vector codes. The CS recovery algorithm used is iterative thresholding algorithm which is in common use ...This algorithm iterates a gradient descent step followed by hard thresholding ...
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Distance learning in discriminative vector quantization
... Against this background, researchers have proposed variants of LVQ which can di- rectly be derived from an underlying cost function which is optimized during train- ing e.g. by means of a stochastic gradient ...
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Brain MRI Classification Using PNN and Segmentation Using K Means Clustering
... wavelet based feature extraction method and Support Vector Machine (SVM), Accuracy of only 65% was ...Genetic Algorithm and SVM is used. This paper proposes a genetic algorithm and SVM ...
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Development Of Speech Recognition System: Using Combination Of Vector Quantization And Linde-Buzo-Gray Algorithm
... Existing literature review on recognition processes revealed work has been carried out on multiple languages and very large scale vocabulary. Thousand of words have been involved in speech recognition process. This work ...
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Multimodal decision-level fusion for person authentication
... training vector belongs to this set. The fuzzy k-means (FKM) algorithm also known as fuzzy ISODATA proposed by Dunn [2] and extended by Bezdek [3], and the fuzzy vector quantization (FVQ) ...
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Vector quantization and clustering in presence of censoring
... k-means algorithm breaks down. Step 1 of our algorithm provides its generalization in our framework and allows for finding the centers of ...our algorithm is a way of overcoming this difficulty by ...
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Distance Learning in Discriminative Vector Quantization
... the algorithm totally eliminates the noisy dimensions 4 to 10, which, in consequence, do not contribute to the computation of distances any ...algorithms based on the statistically motivated cost function ...
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Differential privacy for learning vector quantization
... learning vector quantization (LVQ) offer flexible classification tools, which represent a classification in terms of typical pro- ...one algorithm, which has been proposed in the literature due to its ...
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Multiple-Description Multistage Vector Quantization
... Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image ...An algorithm for ...
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DETECTION OF TUMOR IN MRI USING VECTOR QUANTIZATION SEGMENTATION
... drawback. Vector quantization segmentation algorithm attempts to overcome such ...drawbacks. Vector quantization is based on clustering ...
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Neuro Wavelet based Efficient Image Compression using Vector Quantization
... Recently, based on wavelets there has been many compression ...wavelet based algorithms lead to high compression ...compression algorithm which combines the feature of both wavelet transform and ...
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The Application of Divergences in Prototype Based Vector Quantization
... of vector quantizers which describes the relation between data probability density and prototype vector density is the so-called ...a vector quantizer works optimally in infor- mation theoretic sense ...
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