Relevant bibliographies by topics / Linde-Buzo-Gray (LBG)

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Academic literature on the topic 'Linde-Buzo-Gray (LBG)'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Linde-Buzo-Gray (LBG)"

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Severo, Verusca, Felipe B. S. Ferreira, Rodrigo Spencer, Arthur Nascimento, and Francisco Madeiro. "On the Initialization of Swarm Intelligence Algorithms for Vector Quantization Codebook Design." Sensors 24, no. 8 (2024): 2606. http://dx.doi.org/10.3390/s24082606.

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Vector Quantization (VQ) is a technique with a wide range of applications. For example, it can be used for image compression. The codebook design for VQ has great significance in the quality of the quantized signals and can benefit from the use of swarm intelligence. Initialization of the Linde–Buzo–Gray (LBG) algorithm, which is the most popular VQ codebook design algorithm, is a step that directly influences VQ performance, as the convergence speed and codebook quality depend on the initial codebook. A widely used initialization alternative is random initialization, in which the initial set
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G, Venu. "Codebook Optimization Using ACO Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31753.

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The ACO algorithm, inspired by ant behavior, is used to optimize codebooks in speech processing. This study focuses on compressing speech signals efficiently to reduce bandwidth usage. Vector Quantization, a block coding technique, is employed, utilizing codebooks generated by the Linde-Buzo-Gray (LBG) algorithm. The ACO algorithm is proposed as an optimization method for these codebooks, aiming to minimize spectral distortion. Results show that ACO-optimized codebooks reduce spectral distortion. Keywords— Vector quantization, Speech compression, Linde-Buzo-Gray, ACO.
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Bakshi, Aditya, Akhil Gupta, Sudeep Tanwar, et al. "Performance Augmentation of Cuckoo Search Optimization Technique Using Vector Quantization in Image Compression." Mathematics 11, no. 10 (2023): 2364. http://dx.doi.org/10.3390/math11102364.

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For constructing the best local codebook for image compression, there are many Vector Quantization (VQ) procedures, but the simplest VQ procedure is the Linde–Buzo–Gray (LBG) procedure. Techniques such as the Gaussian Dissemination Function (GDF) are used for the searching process in generating a global codebook for particle swarm optimization (PSO), Honeybee mating optimization (HBMO), and Firefly (FA) procedures. However, when particle velocity is very high, FA encounters a problem when brighter fireflies are trivial, and PSO suffers uncertainty in merging. A novel procedure, Cuckoo Search–K
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Bilal, Muhammmad, Zahid Ullah, Omer Mujahid, and Tama Fouzder. "Fast Linde–Buzo–Gray (FLBG) Algorithm for Image Compression through Rescaling Using Bilinear Interpolation." Journal of Imaging 10, no. 5 (2024): 124. http://dx.doi.org/10.3390/jimaging10050124.

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Vector quantization (VQ) is a block coding method that is famous for its high compression ratio and simple encoder and decoder implementation. Linde–Buzo–Gray (LBG) is a renowned technique for VQ that uses a clustering-based approach for finding the optimum codebook. Numerous algorithms, such as Particle Swarm Optimization (PSO), the Cuckoo search algorithm (CS), bat algorithm, and firefly algorithm (FA), are used for codebook design. These algorithms are primarily focused on improving the image quality in terms of the PSNR and SSIM but use exhaustive searching to find the optimum codebook, wh
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Schulz, Christoph, Kin Chung Kwan, Michael Becher, et al. "Multi-class inverted stippling." ACM Transactions on Graphics 40, no. 6 (2021): 1–12. http://dx.doi.org/10.1145/3478513.3480534.

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We introduce inverted stippling , a method to mimic an inversion technique used by artists when performing stippling. To this end, we extend Linde-Buzo-Gray (LBG) stippling to multi-class LBG (MLBG) stippling with multiple layers. MLBG stippling couples the layers stochastically to optimize for per-layer and overall blue-noise properties. We propose a stipple-based filling method to generate solid color backgrounds for inverting areas. Our experiments demonstrate the effectiveness of MLBG in terms of reducing overlapping and intensity accuracy. In addition, we showcase MLBG with color stipplin
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Tsai, Piyu, Yu-Chen Hu, and Hsiu-Lien Yeh. "Fast VQ Codebook Generation Method Using Codeword Stability Check and Finite State Concept." Fundamenta Informaticae 87, no. 3-4 (2008): 447–63. https://doi.org/10.3233/fun-2008-873-409.

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The codebook design in the vector quantization scheme is important because it affects the image quality of the encoded image. The Linde-Buzo-Gray (LBG) codebook generation algorithm is well known and a popular choice among codebook users. However, a heavy computational complexity is consumed for the iteratively clustering process in the LBG algorithm. In this paper, the similarity of codewords in consecutive rounds of the LBG algorithm is exploited to reduce the computational complexity. By checking the stability of codewords, the status of each codeword in the codebook can be determined. Only
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Chiranjeevi, Karri, Umaranjan Jena, and Sonali Dash. "Comparative Performance Analysis of Optimization Techniques on Vector Quantization for Image Compression." International Journal of Computer Vision and Image Processing 7, no. 1 (2017): 19–43. http://dx.doi.org/10.4018/ijcvip.2017010102.

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Linde-Buzo-Gray (LBG) Vector Quantization (VQ), technically generates local codebook after many runs on different sets of training images for image compression. The key role of VQ is to generate global codebook. In this paper, we present comparative performance analysis of different optimization techniques. Firefly and Cuckoo search generate a near global codebook, but undergoes problem when non-availability of brighter fireflies and convergence time is very high respectively. Hybrid Cuckoo Search (HCS) algorithm was developed and tested on four benchmark functions, that optimizes the LBG code
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MADEIRO, F., R. M. VILAR, J. M. FECHINE, and B. G. AGUIAR NETO. "A Self-Organizing Algorithm for Vector Quantizer Design Applied to Signal Processing." International Journal of Neural Systems 09, no. 03 (1999): 219–26. http://dx.doi.org/10.1142/s0129065799000216.

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Vector quantization plays an important role in many signal processing problems, such as speech/speaker recognition and signal compression. This paper presents an unsupervised algorithm for vector quantizer design. Although the proposed method is inspired in Kohonen learning, it does not incorporate the classical definition of topological neighborhood as an array of nodes. Simulations are carried out to compare the performance of the proposed algorithm, named SOA (self-organizing algorithm), to that of the traditional LBG (Linde-Buzo-Gray) algorithm. The authors present an evaluation concerning
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Hakim, Faruq Abdul, Tio Dharmawan, and Muhamad Arief Hidayat. "Gender classification performance optimization based on facial images using LBG-VQ and MB-LBP." International Journal of Advances in Intelligent Informatics 11, no. 1 (2025): 72. https://doi.org/10.26555/ijain.v11i1.1827.

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In the computer vision and machine learning field, especially for gender classification based on facial images, feature extraction is one of the inseparable parts. Various features can be extracted from images, including texture features. Several prior studies show that the Linde Buzo gray vector quantization (LBG-VQ) and Multi-block local binary pattern (MB-LBP) methods can extract texture features from images. The LBG-VQ produces less optimal performance in gender classification on the FEI facial images dataset. On the other hand, the MB-LBP produces more optimal performance when applied to
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A. Alkhaldi, Nora, Rawabi Abdulaziz Abdullah Alsedais, Hanan T. Halawani, and Sayed M. Abdelkhalek Aboutaleb. "Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique." Computational Intelligence and Neuroscience 2022 (May 25, 2022): 1–13. http://dx.doi.org/10.1155/2022/7140552.

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DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction. Microarray images can be investigated well for obtaining the contained genetic data. But is it undesirable to retain the genetic data and avoid the microarray images? Due to considerable attention to DNA microarray and several experiments being performed under distinct conditions, a massive quantity of data gets produced over the globe. In order to store
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Dissertations / Theses on the topic "Linde-Buzo-Gray (LBG)"

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Joseph, Binoy. "Clustering For Designing Error Correcting Codes." Thesis, Indian Institute of Science, 1994. https://etd.iisc.ac.in/handle/2005/3915.

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In this thesis we address the problem of designing codes for specific applications. To do so we make use of the relationship between clusters and codes. Designing a block code over any finite dimensional space may be thought of as forming the corresponding number of clusters over the particular dimensional space. In literature we have a number of algorithms available for clustering. We have examined the performance of a number of such algorithms, such as Linde-Buzo-Gray, Simulated Annealing, Simulated Annealing with Linde-Buzo-Gray, Deterministic Annealing, etc, for design of codes. But all th
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Joseph, Binoy. "Clustering For Designing Error Correcting Codes." Thesis, Indian Institute of Science, 1994. http://hdl.handle.net/2005/66.

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In this thesis we address the problem of designing codes for specific applications. To do so we make use of the relationship between clusters and codes. Designing a block code over any finite dimensional space may be thought of as forming the corresponding number of clusters over the particular dimensional space. In literature we have a number of algorithms available for clustering. We have examined the performance of a number of such algorithms, such as Linde-Buzo-Gray, Simulated Annealing, Simulated Annealing with Linde-Buzo-Gray, Deterministic Annealing, etc, for design of codes. But all th
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Assaad, Firas Souhail. "Biometric Multi-modal User Authentication System based on Ensemble Classifier." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931.

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Conference papers on the topic "Linde-Buzo-Gray (LBG)"

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Syfullah, Sadi Mohammud, Zareen Binte Zakaria, Md Palash Uddin, Md Fazle Rabbi, Masud Ibn Afjal, and Adiba Mahjabin Nitu. "Efficient Vector Code-book Generation using K-means and Linde-Buzo-Gray (LBG) Algorithm for Bengali Voice Recognition." In 2018 International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE). IEEE, 2018. http://dx.doi.org/10.1109/icaeee.2018.8642994.

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