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IEEE Canadian Conference on Electrical and Computer Engineering

作者： Aoki, S Okamoto, N Kanto Gakuin Univ Grad Sch Engn Kanazawa Ku Yokohama Kanagawa 2368501 Japan

ISBN: (纸本)0780375149

in this paper an encoding method for the purpose of improving the color image compression performance by wavelet transform is proposed As the main contents, high frequency elements compose of a zero value tree structure and 5-dimensional vector quantization used the lbg algorithm. After the range of quantization is discussed in the experiment, it is clear that the range of zero value quantization is almost the same as the vector quantization. Furthermore, the result applied to the color picture is described. ne simulation results using the proposed method that unified these techniques show the effectiveness.

关键词： wavelet transform zero value tree structure lbg algorithm

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Improving Vector Quantization in Image Compression with Hilbert Scan

Improving Vector Quantization in Image Compression with Hilb...

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20th International Conference on Systems, Signals and Image Processing (IWSSIP)

作者： Orest, Vascan O. Mircea, Weingart Crescendo Int BUIT Dept Bucharest Romania Radio Romania IT Dept Bucharest Romania

This paper presents the improvement of the reconstructed image quality when using Hilbert scan of the image sub-blocks prior to vector quantization stage. Two methods for image vector quantization have been considered... 详细信息

ISBN: (纸本)9781479909414;9781479909421

关键词： Image Compression lbg algorithm SOM Neural Network Hilbert Scan

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Combining Dynamic Features with MFCC for Text-independent Speaker Identification

Combining Dynamic Features with MFCC for Text-independent Sp...

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IEEE International Conference on Information Processing (ICIP)

作者： Chaudhari, Amol Rahulkar, Amol Dhonde, S. B. AISSMS Inst Informat Technol Dept Elect Engn Pune Maharashtra India Natl Inst Technol Goa Dept Elect & Elect Engn Ponda India

ISBN: (纸本)9781467377584

This paper presents text-independent speaker identification scheme based on the combination of dynamic features with Mel Frequency Cepstral Coefficients (MFCC). First, MFCCs are used to extract the speaker specific features and then vector quantization is used to model the speaker. We compare the performance of speaker identification system using number of MFCC filters and centroids of vector quantization. In addition, we also compare the effect of possible combinations of MFCC with log energy, delta and double delta coefficients for number of filters and centroids of vector quantization on recognition rate. The experimental results have been evaluated on the developed database of 75 speakers.

关键词： Cepstral Coefficients Mel frequency cepstrut coefficients lbg algorithm Euclidean distance

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The Codebook Design of Image Vector Quantization Based on the Firefly algorithm

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2nd International Conference on Computational Collective Intelligence: Technologies and Applications

作者： Horng, Ming-Huwi Jiang, Ting-Wei Natl Pingtung Inst Commerce Dept Comp Sci & Informat Engn Pingtung Taiwan

ISBN: (纸本)9783642166952

The vector quantization (VQ) was a powerful technique in the applications of digital image compression. The traditionally widely used method such as the Linde-Buzo-Gray (lbg) algorithm always generated local optimal codebook. This paper proposed a new method based on the firefly algorithm to construct the codebook of vector quantization. The proposed method uses lbg method as the initial of firefly algorithm to develop the VQ algorithm. This method is called FF-lbg algorithm. The FF-lbg algorithm is compared with the other three methods that are lbg, PSO-lbg and HBMO-lbg algorithms. Experimental results showed that the computation of this proposed FF-lbg algorithm is faster than the PSO-lbg, and the HBMO-lbg algorithms. Furthermore, the reconstructured images get higher quality than those generated from the lbg and PSO-lbg algorithms, but there are not significantly different to the HBMO-lbg algorithm.

关键词： Vector Quantization lbg algorithm Firefly algorithm Particle warm optimization Honey bee mating optimization

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Structural codebook design and address-dependent vector quantization 19

Structural codebook design and address-dependent vector quan...

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Conference on Applications of Digital Image Processing XIX

作者： Wang, W Li, X Lu, DJ Tsinghua Univ. (China)

ISBN: (纸本)0819422355

A structural codebook design algorithm is proposed in this paper, which is aimed at considerably reducing the computational burden during the coding process of vector quantization (VQ) while having almost no extra storage cost. Kohonen's self-organizing feature map (SOFM) algorithm is improved as to tackle two problems in codebook design. Since the address of currently coded block is often the same as that of the previously coded neighboring blocks, especially in the flat regions, an address-dependent vector quantization (ADVQ) scheme is proposed to further reduce the bit rate and computational complexity. The simulation results show that the ADVQ scheme can achieve a bit-rate reduction of 37% for a typical image ''Lena'' while the computational complexity is reduced by a factor of 20.

关键词： vector quantization image coding neural network SOFM algorithm lbg algorithm

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A Theoretical Exposition to Apply the Lamda Methodology to Vector Quantization

A Theoretical Exposition to Apply the Lamda Methodology to V...

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52nd IEEE International Midwest Symposium on Circuits and Systems

作者： Guzman, Enrique Zambrano, Juan G. Orantes, Antonio Pogrebnyak, Oleksiy Universidad Tecnológica de la Mixteca Mexico Centro de Investigación en Computación IPN Mexico

ISBN: (纸本)9781424444793

Vector quantization is a method, used in the lossy compression of voice and images, which can produce results very near to the theoretical limits;however, its principal disadvantage is that the process of search based its functioning on an algorithm of total search, generating a slow process and of a complexity computacional considerable. The present work proposes the combination of two algorithms in the creation of a new vector quantization scheme. First, an associative network is obtained applying a Learning algorithm for Multivariate Data Analysis (LAMDA) to a codebook generated by means of the lbg algorithm, the purpose of this network is to establish a relation between the training set and the codebook generated by the lbg algorithm;this associative network is a new codebook (LAMDA-codebook) used by the scheme proposed in this work (VQ-LAMDA). Second, considering the LAMDA-codebook as the central element, we use the classification phase of the LAMDA methodology to obtain a rapid search process;the function of this process is generate the set of the class indexes to which every input vector belongs, completing the vector quantization. Furthermore, it is described how to apply the vector quantization scheme proposed to image compression.

关键词： Vector quantization LAMDA methodology evolutionary learning lbg algorithm image compression

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One effective method to design lbg initial codebook

One effective method to design LBG initial codebook

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2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Liang Yanxia Yang Jiawei Li Ye The State Key Lab. Of Integrated Service Networks and Information Science Institute Xidian UniversityXi'anShaanxi 710071 China

lbg algorithm Is commonly used in multidimensional signal processing. It's one of the most effective methods to generate codebooks. Better initial codebook of lbg algorithm leads to better quality of final codebook. In order to find one effective method to design lbg initial codebook, four design methods of initial codebook for lbg algorithm are compared, including Random method, Splitting method, MostDispersed Codewords Initialization (MDCI) and Greedy Tree Growing algorithm (GTGA). The codebooks after lbg algorithm are used to quantize Line Spectral Frequency (LSF) coefficients in speech coding. Simulation by C programming language demonstrates that GTGA is optimal. Because it executes within a sShort span of HtimeH, and both the number of iteration times and run time are close to by splitting method in lbg algorithm. Moreover MSE is minor and Average Spectral Distortion is small.

关键词： signal processing lbg algorithm initial codebook vector quantization Mean Squared Error Spectral Distortion

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A fast finite-state algorithm for generating RGB palettes of color quantized images

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2004年第4期20卷 771-782页

作者： Huang, YL Chang, RF Tunghai Univ Dept Comp Sci & Informat Engn Taichung 407 Taiwan Natl Chung Cheng Univ Dept Comp Sci & Informat Engn Chiayi 621 Taiwan

On the WWW, the transmission time for videos and images impacts the performance of a web site. In order to reduce the bandwidth that is used to transmit images over the Internet, most image formats adopt only a limited number of colors used simultaneously to display color images on a video monitor. Hence. generating a good color palette for a color digitized image is an important task for Internet applications. In general, the Linde-Buzo-Gray (lbg) algorithm can be used to cluster a color digitized image in which each pixel is considered as a 3-dimension vector in an RGB color space for generating a color palette. The codebook generated by the lbg algorithm can be considered as the color palette for the color image. In order to obtain a good color palette, the lbg algorithm needs a large amount of computation time. In this paper, we propose a color finite-state lbg (CFSlbg) algorithm that reduces the computation time by exploiting the correlations of palette entries between the current and previous iterations. Instead of searching the whole color palette, the CFSlbg algorithm searches only a small number of colors that are very close to the training vector. Thus, the computation time for color quantization is reduced. The proposed approach generates RGB palettes efficiently with little sacrifice of quantized image quality. This paper describes the implementation of this work and simulation results.

关键词： palettes generating color quantization lbg algorithm finite-state algorithm VQ

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A VQ COMPRESSION METHOD BASED ON THE VARIATIONS OF THE IMAGE BLOCK GROUPS

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2010年第10期6卷 4527-4537页

作者： Chan, Yung-Kuan Pai, Pei-Yan Chen, Rung-Ching Chang, Chin-Chen Natl Chung Hsing Univ Dept Management Informat Syst Taichung 402 Taiwan Natl Tsing Hua Univ Dept Comp Sci Hsinchu 300 Taiwan Chaoyang Univ Technol Dept Informat Management Taichung 413 Taiwan Feng Chia Univ Dept Informat Engn & Comp Sci Taichung 407 Taiwan

The conventional lbg;(Linde-Buzo-Cray) algorithm consumes a great amount of mailing time to generate a codebook In addition, it gives more codewords for describing the image regions with higher pixel intensity variance, but, fewer codewords for depicting those with lower pixel intensity variance. This paper proposes a group-based VQ codebook generation method (GBVQCG method) to build a codebook It classified the image blocks of an image into groups and determines the number of desired codewords which will be extracted from the image blocks in each group according to the standard deviation and the number of image blocks in the group. The experimental results show that the GBVQCG method generally performs much better in. terms of the running, time and the quality of the decompressed image, compared with the lbg compression method

关键词： VQ Standard deviation lbg algorithm Codebook

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Novel scheme for hiding data using multiple codebooks

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The Journal of Photographic Science 2007年第1期55卷 40-51页

This paper presents a data-hiding scheme, which hides the secret data in VQ compressed images using multiple codebooks. The secret data are hidden in the codebook indices after the VQ image compression is completed. The secret data can be extracted from the codebook indices when the decoding of the compressed image is performed. According to the experimental results, the hiding capacity and image quality outperform Jo and Kim's scheme. In other words, the proposed scheme is proved to be capable of supporting high hiding capacity and good image quality.

关键词： STEGANOGRAPHY DATA HIDING VECTOR QUANTIZATION IMAGE HIDING lbg algorithm

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