孙圣和
(1) 自动化测试系统(2) 电子系统故障模拟、诊断、检测与排除(3) 图像处理与模式识别(4) 信息安全技术及应用
个性化签名
- 姓名:孙圣和
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学术头衔:
博士生导师
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学科领域:
模式识别
- 研究兴趣:(1) 自动化测试系统(2) 电子系统故障模拟、诊断、检测与排除(3) 图像处理与模式识别(4) 信息安全技术及应用
孙圣和教授出生于1937年10月4日。1961年7月毕业于哈尔滨工业大学电气工程系。1985年6月评为教授,1990年5月评委博士导师。曾任国务院仪器科学与技术学科评议组成员,现任测控所所长,兼任中国计量学会常务理事、电子计量专业委员会主任、中国电子学会电子测量与仪器分会副主任、电子测量与仪器学报编委会主任委员等职务。长期从事自动化测试领域教学科研工作。获国家科技进步二等奖1项,部级科技进步一等奖4项,均排名第一。发表学术论文240篇,SCI和EI收录164篇,他引219篇次。出版著作6部。在工程科技和人才培养方面的主要成就和贡献如下:(1) 提出并主持完成VXI总线导弹自动测试系统项目,研制了70多种VXI模块,集成了近30种型号VXI自动测试系统,取得的多项成果属国内首创,国际先进,为开辟我国自动化测试新领域和推动武器装备测试系统更新换代做出重大贡献。(2) 主持研制大型直线加速器水冷控制系统,在国际上首次将石英测温技术用于加速器,研制了高分辨率石英温度传感器,解决了大型复杂对象精密测温和控温难题。为北京正负电子对抗机工程建设做出重大贡献,91年获国务院嘉奖。(3) 指导博士生进行数字形态滤波、矢量量化和数字水印等前沿课题研究,取得系列重要研究成果,培养博士30人,三人获全国百篇优秀博士论文奖,为高层次高水平人才培养做出突出贡献。目前他领导的研究所主要研究方向:(1) 自动化测试系统(2) 电子系统故障模拟、诊断、检测与排除(3) 图像处理与模式识别(4) 信息安全技术及应用
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591
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成果数
10
【期刊论文】Image fusion based on median filters and SOFM neural metworks: a three-step scheme
孙圣和, Zhao-li Zhang a, *, Sheng-he Sun a, Fu-chun Zheng b
Signal Processing 81(2001)1325-1330,-0001,():
-1年11月30日
This paper presents a new image data fusion scheme by combining median filtering with self-organizing feature map (SOFM) neural networks. The scheme consists of three steps: (1) pre-processing of the images, where weighted median filtering removes part of the noise components corrupting the image, (2) pixel clustering for each image using self-organizing feature map neural networks, and (3) fusion of the image, (2) pixel clustering for each image using self-organizing feature map neural networks, and (3) fusion of the images obtained in Step (2), which suppresses the residual noise components and thus further improves the image qeuality. It proves that such a three-step com bination offers an impressive effectiveness and performance improvement, which is confirmend by simulations involving three image sensors (each of which has a different noise structure).
Median filter, Self-organizing feature map Deural network, Image data fusion
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【期刊论文】Image Coding Based on Classified Side-Match Vector Quantization
孙圣和, Zhe-Ming Lu†, Jeng-Shyang PAN††, Nonmembers, and Sheng-He SUN†, Regular Member
,-0001,():
-1年11月30日
The classified side-match vector quantizer, CSMVQ, has already been presented for low-bit-rate image en-coding. It exploits a block classifier to decide which class the input vector belongs to using the variances of the upper and left codewords. However, this block classifier doesn't take the variance of the cnrrcnt input vector itsclf into accounl, This let-ter presents a new CSMVQ in which a two-level block classifier is used to classify input vectors and two diffrent master code-books are used for generating the state codebook according to the variance of the input vcctor. Experimental results prove the cffectivcness of the proposed CSMVQ.
image coding,, image processing,, vector quantizo-tion,, side-match vector quantization
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【期刊论文】Fast codeword search algorithm for image coding based on mean-variance pyramids of codewords
孙圣和, J. S. Pan, Z. M. Lu, and S. H. Sun
,-0001,():
-1年11月30日
The fast codeword search algorithm based on the mean pyramids of codewords is currently used in image coding applications. A more efficient algorithm is presented for fast codeword searching which is based on the use of mean-variance pyramids of codewords. Experimental results confirm the effectiveness of the proposed method.
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【期刊论文】Efficient codeword search algorithm based on Hadamard transform
孙圣和, Zhe-Ming Lu, Jeng-Shyang Pan and Sheng-He Sun
,-0001,():
-1年11月30日
A new fast codeword search algorithm for imagc vcctor quantisation (VQ) is introduced. This algorithm performs a fast codeword search in the Hadamard transform (HT) domain using the partial distance search (PDS) technique, Experimental results show that the algorithm needs only 2-3% of the distortion calculations of the exhaustive search method.
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【期刊论文】Digital image watermarking technique based on vector quantisation
孙圣和, Z. M. Lu and S.H. Sun
,-0001,():
-1年11月30日
A digital image watermarking technique based on vector quantisation (VQ) is presented. This technique uses codeword indices to carry the watermark information. The technique is secret and efficient, and the watermarked image is robust to VQ compression with the same codebook. The simulation results prove the effectiveness of this technique.
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【期刊论文】Digital image watermarking based on multiresolution decomposition
孙圣和, Xia-mu Niu, Zhe-ming Lu and Sheng-he Sun
,-0001,():
-1年11月30日
A multiresolution watermarking method with grey-level watermarking is presented. Both the watermark and the original image are decomposed into three-level multiresolution structures with different mechanisms. The decomposed watermark information is further coded by error correction coding. Each level of watermark information is embedded into the corresponding level of the transformed image. Experimental results show that the proposed algorithm is robust against common image manipulations.
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【期刊论文】An Efficient Encoding Algorithm for Vector Quantization Based on Subvector Technique
孙圣和, Jeng-Shyang Pan, Zhe-Ming Lu, and Sheng-He Sun
,-0001,():
-1年11月30日
In this paper, a new and fast encoding algorthm for vector quantization is presenfed. This algorithm makes fall use of two characterisstics of a vector: the sum and the variance. A vector is separated into two subvectors: one is composed of the first half of vector components and the other consists of the remaining vector components. Three inequalities based on the sums and varances of a vector and Its two subyectors components are introduced to rejict those codewords that are impossible to be the nearest code-word, thereby saving a great deal of computational time, while in-troducing no estra distortion compared to the conventional full search algorithm. The simulation results show that the proposed algorithm is faster than the equal-average nearest neighbor search (ENNS), the improved ENNS, the equal-average equal-varlance nearest neighbor search (EENNS)and the improved EENNS algo-rithms. Comparing with the improved EENNS algorithm, the pro-posed algorithm reduces the computational time and the number of distortion calculations by 2.4% to 6%and 20.5% to 26.8%. re-spectively The average improvements of the computational time and the number of distortion calculations are 4% and 24.6% for the codebook sizes of 128 to 1024, respectively.
Fast codeword search,, subvector,, vector quanti-zation
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107浏览
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【期刊论文】An Efficient BTC Image Compression Algorithm with Vector Quantization*
孙圣和, LU Zheming, PAN Jengshyang and SUN Shenghe
,-0001,():
-1年11月30日
Block truncation coding (BTC) is an efficient block coding technique suitable for real -time image compression, and it has high channel error re-sisting capability and good reconstructed image qual-ity. Abaolute moment BTC (AMBTC) is a simple and fast variant of BTC. The main shortcoming of the original AMBTC algorithm is the high bit rate (nor-mally 2bits/pixel). In order to reduce the bit rate of AMBTC, an efficient BTC image compression algo-rithm with vector quantization (VQ) is presented in this paper. The main idea of the proposed algorithm is to reduce the number of bits required to code the higher mean, the lower mean and the bit plane, which are created by AMBTC for each image block. On the one hand, a simple look-up-table method is presented for coding the higher mean and the lower mean of a block. On the other hand, vector quantization tech-nique is introduced to reduce the number of bits used to code the bit plane. Test results prove the effective-ness of the proposed algorithm.
Block truncation coding,, Absolute moment BTC,, Image compression,, Vector quantiza-tion.,
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【期刊论文】A Modified Tabu Search Algorithm for Codeword Index Assignment*
孙圣和, LU Zheming, PAN Jengshyang and SUN Shenghe
,-0001,():
-1年11月30日
Codeword index assignment (CIA) is a key issue to vector quantization (VQ) In the communication system with channel crrors that will introduce extra distortions in the decoding step. Tabu search algorithm (TSA) has been success-fully used to solve the codeword index assignment for the purpose of minimizing the extra distortions due to blt errors. In this paper, simulated annealing (SA) technique is introduced In the iteration of TSA to Improve the convergence performance, Experimental results show that the modified tabu search algorithm (MTSA) is superior to TSA by evaluating the performance of channel distortion after the same number of iterations.
Vector quantization,, Codeword index assignment,, Tabu search,, Simulated annealing,, Bit errors
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【期刊论文】A Fast K Nearest Neighbors Classification Algorithm
孙圣和, Jeng-Shyang Pan*+, Yu-Long Qiao*, Nonmember, Sheng-He Sun*, Regular Member
,-0001,():
-1年11月30日
Summary A novel fast KNN classification algorithm is proposed for pattern recognition. The technique uses one important feature, mean of the vector, to reduce the search space in the wavelet domain. Since the proposed algorithm rejects those vectors that are impossible to be the k closest vectors in the design set, it largely reduces the classification time and holds the classification performance as that of the original classification algorithm. The simulation on texture image classification confirms the efficiency of the proposed algorithm.
K Nearest Neighbors,, wavelet transform,, texture image classification
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