Vector Quantization (VQ)
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), DWT-MSVQ ...
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Speaker identification using distributed vector quantization and Gaussian mixture models
... Due to above factors, a novel hybrid method which takes the advantage of 2 typical pattern classification approaches for text independence speaker identification is constructed. These two techniques are Vector ...
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DETECTION OF TUMOR IN MRI USING VECTOR QUANTIZATION SEGMENTATION
... Vector Quantization (VQ) [6-14] is an efficient technique for data compression and has been successfully used in various applications such as index compression [15, ...
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An Improved Interpolative Vector Quantization Scheme for Image Compression
... of quantization: scalar quantization (SQ) and vector quantization ...signal. Vector quantization achieves more compression than scalar quantization ...code vector ...
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Fuzzy Modeling using Vector Quantization with Supervised Learning
... Abstract—It is known that learning methods of fuzzy mod- eling using vector quantization (VQ) and steepest descend method (SDM) are superior in the number of rules to other methods using only SDM. There are ...
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Detection and Demarcation of Tumor using Vector Quantization in MRI images
... Vector Quantization (VQ) techniques employ the process of ...training vector. The generation of the training vector is the first step to cluster formation on these training vectors clustering ...
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Novel multivariate vector quantization for effective compression of hyperspectral imagery
... multivariate vector quantization (MVQ) approach is proposed for the compression of HSI, where the pixel spectra is considered as a linear combination of two codewords from the codebook, and the indexed maps ...
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New Clustering Algorithm for Vector Quantization using Walsh Sequence
... for vector quantization ...error vector sequence is the binary representation of numbers, so the cluster orientation change slowly in every ...error vector. The proposed technique (Kekre’s ...
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An Analysis of Vector Quantization Based Image Compression Approaches
... Tsolokis Dimitrios et al [9] proposed the fast fuzzy clustering based Vector Quantization for grayscale image compression. This approach mainly implemented for reducing computational cost as well as ...
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Improved Speech Recognition Processes Using Hybrid Genetic Vector Quantization
... Vector quantization is dependent on the aggressive learning paradigm, so that it is closely pertaining to the self-organizing map model and to sparse programming models utilized in deep studying formulas ...
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Data Hiding Scheme For Side Match Vector Quantization and Arnold Decoding
... match vector quantization technique which means that the receiver can obtain all embedded bits by simply segmenting and analyzing the compressed codes without the ...
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Vector Quantization based Lossy Image Compression using Wavelets – A Review
... on vector quantization (VQ) based lossy image compression using ...using vector quantization (VQ) provides good picture quality and better image compression ratio compared to all other ...
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Image Compression using DCT based Compressive Sensing and Vector Quantization
... scalar, vector and entropy coded quantization when they deal with CS measurements ...scalar quantization can be closed by using entropy and uniform ...quantization. Vector ...
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Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
... Front-end or feature extractor is the first component in an automatic speaker recognition system. Feature extraction transforms the raw speech signal into a compact but effective representation that is more stable and ...
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Fast Learning Algorithm for Fuzzy Inference Systems using Vector Quantization
... Many studies on self-tuning fuzzy systems have been made [1]–[3]. Their aim is to construct automatically fuzzy systems from learning data. Although most of the methods are based on steepest descend method (SDM), the ...
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A Novel Vector Quantization Approach to Arabic Character Recognition
... and vector quantization (VQ). In this paper, a classified vector quantization (CVQ) scheme for the recognition of typed Arabic letters is ...
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Vector Quantization for Image Compression using Repulsion based FPCM
... Abstract—Image compression plays a significant role in multimedia data communication, particularly when the allotted band is limited. The restrictions in bandwidth for communication require a better technique for sending ...
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Face Recognition Using Vector Quantization Histogram and Support Vector Machine Classifier
... Figure 2 shows the process steps of VQ histogram. Before VQ processing, an average low-pass filter is applied to filter input image. High-frequency noises are reduced, and most effective low frequency components are ...
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Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images
... Vector Quantization (VQ) is one of the Lossy Image Compression Techniques. Vector Quantization is performed in three phases: 1.CodeBook Generation, 2.Image Encoding and 3.Image Decoding. In ...
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Speaker Identification by using Vector Quantization
... possible. Vector Quantization [1] - [4] is an efficient data compression technique and has been used in various applications involving VQ-based encoding and VQ based ...recognition. Vector ...
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