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浏览/检索结果: 共11条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Infrared stripe correction algorithm based on wavelet decomposition and total variation-guided filtering 期刊论文  OAI收割 JOURNAL OF THE EUROPEAN OPTICAL SOCIETY-RAPID PUBLICATIONS, 2020, 卷号: 16, 期号: 1, 页码: 1-12 作者:  Wang ED(王恩德);  Jiang P(姜平);  Li XP(李学鹏);  Cao H(曹晖)   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/01/11 Focal-plane array  non-uniformity correction  Infrared image  Multi-scale  Destriping   Infrared Stripe Correction Algorithm Based on Wavelet Analysis and Gradient Equalization 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 10, 页码: 1-21 作者:  Peng LY(彭良玉);  Zhu YL(朱亚龙);  Hou XK(侯续奎);  Jiang P(姜平);  Wang ED(王恩德)   |  收藏  |  浏览/下载：81/0  |  提交时间：2019/08/04 non-uniformity correction  focal-plane array  infrared image  destriping   Infrared stripe noise correction algorithm based on multi-scale analysis and one-dimensional vector convolution 会议论文  OAI收割 Shanghai, China, December 20-23, 2019 作者:  Jiang P(姜平);  Wang ED(王恩德);  Feng DQ(冯达其)   |  收藏  |  浏览/下载：32/0  |  提交时间：2020/03/22 Non-uniformity correction  focal-plane array  infrared image  Multi-scale  destriping   Stripe Noise Removal for Infrared Images Using Guided Filter 会议论文  OAI收割 International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016 作者:  Zhang SW(张盛伟);  Xiang W(向伟);  Xu BS(徐保树);  Feng B(冯斌) 收藏  |  浏览/下载：34/0  |  提交时间：2016/09/13 Non-Uniformity Correction  Stripe noise  Blurred image  Guided filter   Mathematics Model of the Question of Micro-pits Image with Direction-uniformity Distribution and Area Scrambling Micro-pits Image Design Methods Based on Regular Graphics Arrangement 会议论文  OAI收割 3rd International Conference on Mechatronics and Intelligent Materials (MIM 2013), XiShuangBanNa, PEOPLES R CHINA, MAY 18-19, 2013 作者:  Wang HC(王红才);  Wang Y(王扬) 收藏  |  浏览/下载：57/0  |  提交时间：2013/12/12 Mathematics model  Surface roughness evaluation  Image design methods  Uniformity   The Micro-pits Image Design Method with Direction-uniformity Distribution Based on Minimum Interval Area Scrambling 会议论文  OAI收割 3rd International Conference on Mechatronics and Intelligent Materials (MIM 2013), XiShuangBanNa, PEOPLES R CHINA, May 18-19, 2013 作者:  Wang HC(王红才);  Wang Y(王扬) 收藏  |  浏览/下载：23/0  |  提交时间：2013/09/30 Surface roughness evaluation  Image design method  Uniformity   LED display image correction based on computer simulation (EI CONFERENCE) 会议论文  OAI收割 2012 International Applied Mechanics, Mechatronics Automation Symposium, IAMMAS 2012, September 7, 2012 - September 9, 2012, Shenyang, Liaoning, China Zheng X.-F.; Chang F. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 For the purposes of correcting the LED display image  a method based on computer simulation is proposed. First  the development of the LED display panel is introduced. Second  analyze the causes of the problem which image in LED display panel has serious high nonuniformity  and introduce the existed correction techniques which are used to reduce the nonuniformity of LED display image. Simultaneously  point out the ground for shortcomings of these techniques. Third  describe the principle of correction method based on computer simulation detail from two steps  which are the luminous collection and luminous copulation. Forth  describe the realization steps of this method in accordance with the third step. Finally  this method is supplied in a LED display panel  whose resolution is 640480. Experimental results show that this method is able to reduce the non-uniformity of images from 11.06% to 0.98%. (2012) Trans Tech Publications  Switzerland.   Application of image smoothing algorithm (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者:  Zhang X.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 With the application of CCD image sensor  the display effect of LED display panel is greatly improved. Due to the pixel response non-uniformity of CCD  it usually brings a "center dark  surround light" defect on LED display panel. Based on image smoothing algorithm  a calibration method for this defect is proposed in this paper. After calibration  the display uniformity deviation of LED display panel can be narrowed from 12.9% to 0.73%. Experimental results show that the method overcomes the inherent defect and achieves the desired effect. 2010 IEEE.   Design and implementation of a high speed CMOS imaging system (EI CONFERENCE) 会议论文  OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者:  He X. 收藏  |  浏览/下载：29/0  |  提交时间：2013/03/25 In order to meet the needs of measurement of highspeed target  the timing sequence of LUPA300  an array CMOS image sensor of CYPRESS  is analyzed. The driving timing and control software is designed for the array CMOS sensor. High speed CMOS imaging system  whose hardware platform is FPGA  is emphasized. Real-time non-uniformity correction for CMOS sensor is implemented in the output stage. The experimental result shows that the system could control the CMOS sensor flexibly. The image is clear and stable. The maximum resolution of the image is 640H480V pixels and the system can operate up to 250 frames per second in full resolution. 2010 IEEE.   Non-uniformity correction in multi-CCD imaging system (EI CONFERENCE) 会议论文  OAI收割 2010 2nd International Conference on Mechanical and Electronics Engineering, ICMEE 2010, August 1, 2010 - August 3, 2010, Kyoto, Japan Tao M.; Ren J. 收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25 The non-uniformity phenomenon exists in each channel of multi-CCD imaging systems. The factors which lead to the problem are complex. The conventional calibrating algorithms can not consider all of these factors and have poor effects. According to the characters of multi-CCD imaging systems  a non-uniformity correction method based on the scene was proposed by adopting the traditional two-point correction theories. The correction coefficient of each channel image can be calculated via the linear relation between the two neighboring pixel lines in the two-channel images. Compared with the conventional two-point calibration and multi-point calibration methods  contrastive calibrating results were obtained. This method does not need any standard lighted image as reference source  which provides a real time way for calibrating the multi-CCD imaging systems in practical applications. 2010 IEEE.