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2013 3rd International Conference on Electric and Electronics(EEIC 2013)

作者： Mei Du Huaici Zhao Chunyang Zhao Bo Li Shenyang Institute of automation Chinese Academy of Science University of Chinese Academy of Sciences Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Key Laboratory of Image Understanding and Computer Vision

When images compressed by traditional transformation-based compression algorithms are transmitted over wireless channels, if the gaussian random interference causes the loss of the crucial transformation coefficients, the contents of the reconstructed images will be lost obviously and this will reduce the accuracy of the subsequent detection and recognition results greatly. In order to solve this problem, this paper proposed an antiinterfering image reconstruction algorithm based on compressed sensing. This algorithm first confirmed the new compressed sensing signals and the new reconstruction matrix based on the locations of the compressed sensing signal components corresponding to the gaussian-interfered bit stream, and then reconstructed the original images employing the iterative threshold algorithm. The simulation results demonstrated that the new algorithm reconstructed exact images at low bit error rates, and reconstructed inexact images whose qualities were slightly lowered without loss of local contents at high bit error rates. As a result, our algorithm is able to overcome the deficiencies of compression algorithms based on diverse transformations and the iterative threshold algorithm, thus proposes a feasible solution scheme for the anti-interfering problem that arises in wireless image transmission.

关键词： anti-interference compressed sensing image reconstruction Gaussian random interference

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Memetic immune algorithm for multiobjective optimization

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Ruan Jian Xue Bao/Journal of Software 2013年第7期24卷 1529-1544页

作者： Qi, Yu-Tao Liu, Fang Chang, Wei-Yuan Ma, Xiao-Liang Jiao, Li-Cheng School of Computer Science and Technology Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an 710071 China

A Memetic immune algorithm for multiobjective optimization (MIAMO) is proposed by introducing two types of local search operators. These operators are the Pareto dominance based descent operator and the differential evolution based operator. In MIAMO, the position and spatial relations between antibodies in the decision space are used to design the two heuristic local searching strategies with the assistance of which the efficiency of the immune multiobjective optimization algorithm can be improved. Experimental results indicate that, comparing with the other four efficient multiobjective optimization algorithms, the MIAMO performs better in approximation, uniformity, and coverage. It converges significantly faster than the immune multiobjective optimization algorithm. © 2013 ISCAS.

关键词： Multiobjective optimization

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image denoising based on multi-directional difference and multi-scale products of curvelet transform

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Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 2013年第12期41卷 39-43页

作者： Hao, Hongxia Liu, Fang Jiao, Licheng School of Computer Science and Technology Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China Xidian University Xi'an 710071 China

An multi-directional difference and multi-scale products based on correlation method for image denoising was proposed to smooth out the Gaussian white noise and preserve edges and texture in image, using the dependencies among direction, inter-scale and intra-scale in the curvelet domain. First, multi-directional differences were constructed to capture the direction correlation on the adjacent scales whose directions were double-increased, according to the direction information of image texture. Then, multi-scale products between scales and local aggregation in each sub-band were respectively utilized to represent the inter-scale and intra-scale correlations. Finally, true signals and noise were distinguished on the basis of these correlations. Experimental results indicate the new method has advantages in edge preservation and smooth effects. Compared with the curvelet shrinkage algorithm, this method can not only improve the peak signal to noise ratio (PSNR) but also suppress the scratches phenomena in the image denoising.

关键词： Correlation methods

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Optimization of ultrasonic imaging using persistence and filter technology

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2013 2nd International Conference on Materials Science and Technology, ICMST 2013

作者： Guo, De Quan Yang, Hong Yu Zhang, Cong Yao Liu, Dong C. Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Sichuan Province China Department of Machinery Engineering Neijiang Vocational and Technical College Neijiang China College of Computer Science Sichuan University Sichuan Province China

ISBN: (纸本)9783037857137

B-mode ultrasonic images are often pervaded by the electronics noise and speckle artifact, which may make the interpretation of medical images difficult. In this paper, a legible method for ultrasonic image is constructed and it can be effective to suppress the noise and improve the images quality. Dynamic persistence technology based on temporal multi-frames is utilized to smooth the electronics noise and even lower speckle artifact. To reduce computing complexity, a sum table method and conjugate direction search approaches are applied to speed up estimation of motion vector. The guided image filter strategy is used to enhance the contrast and detail resolution for the processed image by persistence. Experimental results show that the proposed method is effective to smooth noise and enhance contrast of ultrasound image in vivo. © (2013) Trans Tech Publications, Switzerland.

关键词： Ultrasonic imaging

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The Infrared Multispectral image Simulation Research Based on 3D Scene

The Infrared Multispectral Image Simulation Research Based o...

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2013 3rd International Conference on Electric and Electronics(EEIC 2013)

作者： Bo Li Huai-ci Zhao Mei Du Jinfeng Lv Department of Optical-Electronics and Information Processing Shenyang Institute of automation Chinese Academy of Science University of Chinese Academy of Science Key Laboratory of Optical-Electronics Information Processing Chinese Academy of Science Key Laboratory of Image Understanding and Computer Vision Shenyang Institute of Engineering

A method of generating infrared multispectral simulation images by 3D scene is presented. The infrared images at any observation angle of the scene and a data cube of simulation images of specific waveband could be generated by the method. Some experiments have been done in waveband 3～5μm to generate a data cube involving 401 infrared simulation images in the wavelength step 0.005μm, and the experiments results show that the simulation method presented in this paper could generate infrared multispectral images data cube rapidly. A way to reflect the differences while the observation angle changed is mentioned in this paper.

关键词： infrared multispectral simulation the data cube self-radiation

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Research advances on structured compressive sensing

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Zidonghua Xuebao/Acta Automatica Sinica 2013年第12期39卷 1980-1995页

作者： Liu, Fang Wu, Jiao Yang, Shu-Yuan Jiao, Li-Cheng School of Computer Science and Technology Xidian University Xi'an 710071 China Key Laboratory of Intelligent Perception and Image Understanding of Education Xidian University Xi'an 710071 China College of Sciences China Jiliang University Hangzhou 310018 China

Compressive sensing (CS) is a newly developed theoretical framework for information acquisition and processing. Using the non-linear optimization methods, the signals can be recovered from fewer linear and non-adaptive measurements by taking advantage of the sparsity or compressibility inherent in real world signals. Structured compressive sensing is a new framework which can treat more general signal classes to achieve the accurate and effective reconstruction in practice by introducing the prior information matching with data acquisition hardware and complicated signal models to traditional compressive sensing. In this paper, the basic models and key techniques of structured compressive sensing are introduced in terms of the structured measurements, the structured dictionary representation and the structured signal reconstruction, which correspond to three basic aspects of compressive sensing, and the recent developments of structured compressive sensing are reviewed in detail. Finally, the current and future challenges of the structured compressive sensing are discussed. Copyright © 2013 Acta Automatica Sinica. All rights reserved.

关键词： Compressed sensing

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Optimization of Ultrasonic Imaging Using Persistence and Filter Technology

Optimization of Ultrasonic Imaging Using Persistence and Fil...

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2013 2nd International Conference on Materials Science and Technology(ICMST 2013)

作者： Dequan Guo Hongyu Yang Congyao Zhang Dong C.Liu Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Department of Machinery Engineering Neijiang Vocational and Technical College College of Computer Science Sichuan University

关键词： noise contrast sum table conjugate direction search guided image filter

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Wavelength dependent loss of splice of single-mode fibers

Wavelength dependent loss of splice of single-mode fibers

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第八届全国青年岩土力学与工程会议暨青年华人岩土工程论坛

作者： YANG Bo DUAN Ji-an XIE Zheng XIAO Hong-feng State Key Laboratory of High Performance Complex Manufactory (Central South University) Changsha 41 State Key Laboratory of High Performance Complex Manufactory (Central South University) Changsha 41 Institution of Image Recognition and Computer Vision Hunan Normal University Changsha 410081 Chin

After reviewing three different definitions of mode field diameter of single-mode fibers, coupled efficiency calculation methods associated with lateral offset, longitude separation and wavelength, the effects produced by them, and the influences of splicing defects were discussed in *** regularities of the effects were studied according to the first order derivation of couple efficiency formula, and a simplified formula for couple efficiency calculation was presented under the circumstance of slight misalignment, with respect to wavelength, λ, and in a good agreement with the theoretical *** simplified formula provides a new but simple approach to evaluate wavelength dependent couple efficiency of single-mode *** analyses and numerical calculations show that, when those defects exist, the wavelength produces additional effects on the couple loss that growth of wavelength causes an increase on the couple efficiency for the lateral offset or longitude separation whereas lessens the couple efficiency due to angular misalignment or mode fields mismatching, and that the wavelength degrades the couple efficiency distinctly when λ≥ 2.5 μm whereas it distorts the couple slightly in range of λc≤λ≤2 μm.

关键词： wavelength dependent loss couple efficiency single-mode fiber cut-off wavelength

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Motion compensation and histogram aided methods for persistence in ultrasonic images optimization

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Journal of Computational Information Systems 2013年第13期9卷 5325-5335页

作者： Guo, Dequan Yang, Hongyu Yin, Hao Shao, Dangguo Liu, Dong C. Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Chengdu 610064 China Department of Machinery Engineering Neijiang Vocational and Technical College Neijiang 641100 China School of Computer Science and Engineering Sichuan University Chengdu 610064 China

Ultrasound images are often degraded by electronics noise from circuit system and speckle noise. In the paper, a new persistence approach is proposed. The motion vectors are calculated by maximum-fast-normalized-cross-correlation (MFNCC) with sum table and conjugate direction (CD) search approaches. These improvements can be helpful to increase accuracy and accelerate the motion estimate. The coefficient of the persistence function is determined by the correlation, which is based on the discrepancy histogram between the corresponding points of successive images quantitatively after motion estimation rectified. The signal-to-noise-ratio (SNR) and four texture features are quantitatively verified the effectiveness in kidney images. Experimental results demonstrate that the proposed method works very well in the vivo ultrasound image with noise reduction, smooth and removal shadow of tissue edge in visual appearance. © 2013 by Binary Information Press.

关键词： Motion compensation

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Guided filter for adaptive persistence of ultrasound images

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ICIC Express Letters, Part B: Applications 2013年第6期4卷 1597-1602页

作者： Guo, Dequan Yang, Hongyu Yin, Hao Liu, Dong Chyuan Zhang, Zhijie Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University No. 24 South Section 1 Yihuan Road Chengdu 610065 China Department of Mechanical Engineering Neijiang Vocational and Technical College No. 42 Dongtong Road Neijiang 641100 China College of Computer Science Sichuan University No. 24 South Section 1 Yihuan Road Chengdu 610065 China

Medical ultrasonic images often suffer from the electronics noise and speckle artifact, which degrade lesion detectability and increase the likelihood of misdiagnosis. In this paper, a legible and comprehensive method for ultrasonic image is proposed and it can be effective to suppress the noise and improve the images quality. Persistence technology based on temporal multi-frames is utilized to smooth the electronics noise and even lower speckle artifact. To reduce computing complexity, a sum table method and conjugate direction search approaches are applied to speed up estimation of motion vectors. Then, the guided image filter strategy is used to enhance the contrast and detail resolution for the processed image by persistence. The experimental results show that the proposed method is better in quantitative and qualitative perfomance, and enhances the ultrasound image in contrast with existing methods. © 2013 ICIC International.

关键词： Motion estimation

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