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题名: Application of heterogeneous pulse coupled neural network in image quantization
作者: Huang, Y; Ma, YD; Li, SL; Zhan, K
收录类别: SCIE ; EI
出版日期: 2016-11
刊名: JOURNAL OF ELECTRONIC IMAGING
卷号: 25, 期号:6
出版者: IS&T & SPIE
出版地: BELLINGHAM
英文摘要: On the basis of the different strengths of synaptic connections between actual neurons, this paper proposes a heterogeneous pulse coupled neural network (HPCNN) algorithm to perform quantization on images. HPCNNs are developed from traditional pulse coupled neural network (PCNN) models, which have different parameters corresponding to different image regions. This allows pixels of different gray levels to be classified broadly into two categories: background regional and object regional. Moreover, an HPCNN also satisfies human visual characteristics. The parameters of the HPCNN model are calculated automatically according to these categories, and quantized results will be optimal and more suitable for humans to observe. At the same time, the experimental results of natural images from the standard image library show the validity and efficiency of our proposed quantization method. (C) 2016 SPIE and IS&T
关键词: heterogeneous pulse coupled neural networks ; image quantization ; human visual system
作者部门: [Huang, Yi ; Ma, Yide ; Li, Shouliang ; Zhan, Kun] Lanzhou Univ, Sch Informat Sci & Engn, 222 Tianshui Rd, Lanzhou 730000, Peoples R China
通讯作者: Huang, Y (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, 222 Tianshui Rd, Lanzhou 730000, Peoples R China.
学科分类: Engineering; Optics; Imaging Science & Photographic Technology
文章类型: Article
所属项目编号: National Natural Science Foundation of China [61175012, 61201421, 61201422] ; Science 549 Foundation of Gansu Province of China [1208RJZA265] ; Specialized Research Fund for the Doctoral 550 Program of Higher Education of China [20110211110026] ; Fundamental Research Funds for the 551 Central Universities of China [lzujbky-2013-k06, lzujbky-2015-108] ; Fundamental Research Funds for the Central Universities [lzujbky-2015-109]
所属项目名称: 国家自然科学基金项目 ; 高等学校博士学科点专项科研基金 ; 中央高校基本科研业务费专项资金 ; 甘肃省自然科学基金计划
项目资助者: NSFC ; MOE ; LZU ; GSSTD
语种: 英语
DOI: 10.1117/1.JEI.25.6.061603
ISSN号: 1017-9909
WOS记录号: WOS:000397059200017
EI记录号: 20163402733069
IR记录号: 20163402733069
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内容类型: 期刊论文
URI标识: http://ir.lzu.edu.cn/handle/262010/182825
Appears in Collections:信息科学与工程学院_期刊论文

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Recommended Citation:
Huang, Yi,Ma, Yide,Li, Shouliang,et al. Application of heterogeneous pulse coupled neural network in image quantization[J]. Journal of Electronic Imaging,2016,25(6).
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