检索结果-内蒙古大学图书馆

Vector quantization codebook design based on Fish School Search algorithm

APPLIED SOFT COMPUTING 2018年 73卷 958-968页

作者： Fonseca, C. S. Ferreira, F. A. B. S. Madeiro, F. Univ Pernambuco Polytech Sch Pernambuco Recife PE Brazil

Vector Quantization (VQ) has been used in image coding systems since it allows high compression rates. Codebook design can be seen as a high dimensional optimization problem and, in this scenario, swarm intelligence techniques have been used. This paper presents a new VQ codebook design algorithm based on swarm clustering. The method, based on Fish School Search (FSS) algorithm, is introduced. The FSS is embedded in Linde-Buzo-Gray (LBG) algorithm as a swarm clustering method, here called FSS-LBG. Also, a modification in the original FSS breeding operation is proposed in order to favor the exploration ability and, therefore, achieve better results in terms of PSNR of the reconstructed images. Simulation results show gains up to 1.57 dB in terms of PSNR when compared to LBG algorithm for the image Lena at 0.5625 bpp using a codebook of size 512. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Vector quantization Codebook design Fish school search swarm intelligence swarm clustering algorithm Image compression

来源：评论

学校读者我要写书评

暂无评论

Hybrid firefly-Linde-Buzo-Gray algorithm for Channel-Optimized Vector Quantization codebook design

引用

INTEGRATED COMPUTER-AIDED ENGINEERING 2017年第3期24卷 297-314页

作者： Ferreira, Felipe A. B. S. Leitao, Herbert A. S. Lopes, Waslon T. A. Madeiro, Francisco Univ Pernambuco Polytech Sch Pernambuco Recife PE Brazil Univ Fed Pernambuco Dept Elect Engn Recife PE Brazil Univ Fed Paraiba Dept Elect Engn Joao Pessoa Paraiba Brazil

This paper introduces a hybrid method that uses Firefly algorithm (FA) and Linde-Buzo-Gray (LBG) algorithm to Channel-Optimized Vector Quantization (COVQ) codebook design. Fast nearest neighbor search (NNS) techniques are used with the purpose of execution time savings of the proposed COVQ codebook design. Simulation results concerning image transmission over a binary symmetric channel (BSC) reveal the superiority of the proposed swarm intelligence technique, referred to as FA-COVQ, over conventional COVQ codebook design method. Simulation results also reveal that the adoption of acceleration techniques in FA-COVQ codebook design can lead to execution time savings up to about 97% when compared to the FA-COVQ with brute force approach.

关键词： Image compression Vector Quantization Channel-Optimized Vector Quantization swarm clustering algorithm Firefly algorithm

来源：评论

学校读者我要写书评

暂无评论

A Fish School Search Based algorithm For Image Channel-Optimized Vector Quantization

A Fish School Search Based Algorithm For Image Channel-Optim...

引用

IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Ferreira, Felipe A. B. S. Madeiro, F. Univ Pernambuco UPE Recife PE Brazil

ISBN: (纸本)9781509018970

Channel-Optimized Vector Quantization (COVQ) is an alternative to Vector Quantization (VQ) in the scenario of transmission over noisy channels. The codebook design is an optimization problem in which a set of vectors must be optimized to represent the signals to be quantized. This paper presents a new approach to COVQ codebook design, which is a challenging optimization problem. The proposed technique embeds the Fish School Search (FSS) as a swarm clustering algorithm to COVQ. Simulation results concerning a Binary Symmetric Channel (BSC) reveal the superiority of the proposed technique over conventional COVQ codebook design in terms of the quality of reconstructed images.

关键词： image compression fish school search swarm clustering algorithm channel-optimized vector quantization

来源：评论

学校读者我要写书评

暂无评论

A Fish School Search Based algorithm For Image Channel-Optimized Vector Quantization

A Fish School Search Based Algorithm For Image Channel-Optim...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Felipe A. B. S. Ferreira F. Madeiro University of Pernambuco (UPE) Recife Brazil

ISBN: (纸本)9781509018987

关键词： channel-optimized vector quantization image compression fish school search swarm clustering algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：