检索结果-内蒙古大学图书馆

9th Annual International Conference on Network and Information Systems for Computers, ICNISC 2023

作者： Zhang, Xiaobo Xianyang Normal University Institute of Graphics and Image Processing Xianyang China

ISBN: (纸本)9798350306682

Inspired by the human visual system (HVS), Alessandro Foi et al. design a foveation operator to calculate the similarity of patch. The calculation of similarity is called the foveated self-similarity (FSS). Their study shows that FSS is much superior to the traditional windowed self-similarity (WSS). Non-local means (NLM) with FSS (NLM-FSS) produces a more satisfactory denoising effect. However, as with many NLMs with WSS (NLM-WSS), center weight is not considered sufficiently. This study shows that window based Wiener filter center weight proposed by Zhang also can improve the NLM-FSS. © 2023 IEEE.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

Foveated Non-local Means image Denoising Using Wiener filter Center Weight

Foveated Non-local Means Image Denoising Using Wiener filter...

引用

International Conference on Network and Information Systems for Computers (ICNISC)

作者： Xiaobo Zhang Institute of Graphics and Image Processing Xianyang Normal University Xianyang China

关键词：

来源：评论

学校读者我要写书评

暂无评论

Improved Interscale-Based SURE-LET Approach to image Denoising

引用

Procedia Computer Science 2017年 107卷 819-823页

作者： Xiaobo Zhang Institute of Graphics and Image Processing Xianyang Normal University Xianyang 712000 China

Currently, the SURE-LET approach has been widely used for the removal of noise in corrupted image. However the original interscale-based SURE-LET approach rules out intrascale considerations of wavelet coefficients, which makes the denoising ability of the technique is reduced greatly. In this paper, the local Wiener-like estimator is incorporated into the original interscale-based SURE-LET thresholding function. The tests show the improved interscale-based SURE-LET gets the better denoising performance objectively and subjectively. Especially for Barbara image, the PSNR is on average improved by 0.52dB compared to the traditional pointwise interscale-based SURE-LET approach.

关键词： image denoising SURE-LET approach Wiener filter Thresholding function

来源：评论

学校读者我要写书评

暂无评论

Multi-scale application of camera calibration in tourism service platforms

引用

Journal of Information Hiding and Multimedia Signal processing 2017年第4期8卷 929-936页

作者： Ding, Xintao Luo, Yonglong Cai, Guorong Zhang, Xiaobo School of Territorial Resources and Tourism Anhui Normal University No. 819 South Jiuhua Road Wuhu241002 China School of Mathematics and Computer Science Anhui Normal University No. 819 South Jiuhua Road Wuhu241002 China Computer Engineering College Jimei University No. 183 Yinjiang Road Xiamen China Institute of Graphics and Image Processing Xianyang Normal University No. 43 Wenlin Road Xianyang China

Full view panoramas are able to simulate tele-presence or virtual reality experience, thus panoramic technology is an important implementation approach for the visual expression of tourism service platforms (TSP). On one hand, camera calibration, which is generally implemented under a certain resolution, may be a necessary preprocessing stage for panoramic technology. On the other hand, multi-scale applications are potentially involved in TSP for visualization expression. Therefore, calibration parameters resulting in one scale should be extended to multi-scale applications, but the extension research on this topic is insufficient. In this paper, the relations of intrinsic and distortion calibration parameters under different scales were both presented. Then, based on these two claims, a multi-scale correction algorithm is proposed. After demonstration experiments, with the help of the algorithm, different scale panoramas were employed for visualization expression in TSP. The multi-scale application of camera calibration in TSP is beneficial to bring intuition feelings to tourists. © 2017, Ubiquitous International. All rights reserved.

关键词： Calibration

来源：评论

学校读者我要写书评

暂无评论

image denoising using shearlet transform and nonlinear diffusion 5

Image denoising using shearlet transform and nonlinear diffu...

引用

5th International Conference on Computer Engineering and Networks, CENet 2015

作者： Zhang, Xiaobo Institute of Graphics and Image Processing Xianyang Normal University Xianyang712000 China

In this paper, we present a new image denoising method for removing Gaussian noise from corrupted image by using shearlet transform and nonlinear diffusion. The image is decomposed by the shearlet transform to obtain the shearlet coefficients in each subband;then a diffusion scheme based on statistical property of shearlet coefficients is used to shrink noisy shearlet coefficients. The test shows the proposed method has better performance compared to the relevant methods. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： image denoising

来源：评论

学校读者我要写书评

暂无评论

A New Gradient-based Nonlinear Diffusion Method Applied to image Denoising

A New Gradient-based Nonlinear Diffusion Method Applied to I...

引用

2014 IEEE International Conference on Progress in Informatics and Computing

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Department of Mathematics Xidian University

This paper presents a new nonlinear diffusion method toaddress the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used toextract the gradientinformation accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared tothe related gradient domain algorithms.

关键词： image denoising local window diffusion function

来源：评论

学校读者我要写书评

暂无评论

A new gradient-based nonlinear diffusion method applied to image denoising

A new gradient-based nonlinear diffusion method applied to i...

引用

IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Xianyang China Department of Mathematics Xidian University Xi'an China

ISBN: (纸本)9781479920327

This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.

关键词： Manganese image denoising image edge detection Noise reduction Noise measurement PSNR

来源：评论

学校读者我要写书评

暂无评论

The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

引用

BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

来源：评论

学校读者我要写书评

暂无评论

A novel adaptive noise filtering method for SAR images

A novel adaptive noise filtering method for SAR images

引用

Satellite Data Compression, Communication, and processing V

作者： Li, Weibin He, Mingyi Institute of Graphics and Image Processing Xianyang Normal Univ. Xianyang 712000 China Electronics and Information Northwestern Polytechnical Univ. Xi'an 710072 China

ISBN: (纸本)9780819477453

In the most application situation, signal or image always is corrupted by additive noise. As a result there are mass methods to remove the additive noise while few approaches can work well for the multiplicative noise. The paper presents an improved MAP-based filter for multiplicative noise by adaptive window denoising technique. A Gamma noise models is discussed and a preprocessing technique to differential the matured and un-matured pixel is applied to get accurate estimate for Equivalent Number of Looks. Also the adaptive local window growth and 3 different denoise strategies are applied to smooth noise while keep its subtle information according to its local statistics feature. The simulation results show that the performance is better than existing filter. Several image experiments demonstrate its theoretical performance. © 2009 SPIE.

关键词： Additive noise

来源：评论

学校读者我要写书评

暂无评论

An automatic ship detection scheme in open ocean for Synthetic Aperture Radar images

An automatic ship detection scheme in open ocean for Synthet...

引用

Satellite Data Compression, Communication, and processing V

作者： Li, Weibin Huang, Bormin He, Mingyi Space Science and Engineering Center UW-Madison Madison WI 53706 United States School of Electronics and Information Northwestern Polytechnical Univ. Xi'an 710072 China Institute of Graphics and Image Processing Xianyang Normal Univ. Xianyang 712000 China

ISBN: (纸本)9780819477453

Ship and wake detection from the SAR imagery have been studied for long time. In several situations, ship wake is not available for some reasons, such as sea status, the incidence angle of radar, and so on. Fortunately, ship always imaged in the radar image. In this paper a novel faster and simpler algorithm to detect ship in the open ocean is proposed. Firstly, a global optimal threshold is selected according to Renyi entropy. Then a heterogeneity test is performed to get rid of the false object in the local area. For noisy disturbing, the object may be divided into parts. Thirdly, the segments of the same object are merged according to its minimum distance to get the accurate position and number of the ships. Several real SAR images demonstrate its efficiency. © 2009 SPIE.

关键词： Synthetic aperture radar

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：