中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共10条,第1-10条 帮助

条数/页: 排序方式:
Illumination Guided Attentive Wavelet Network for Low-Light Image Enhancement 期刊论文  OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6258-6271
作者:  
Xu, Jingzhao;  Yuan, Mengke;  Yan, Dong-Ming;  Wu, Tieru
  |  收藏  |  浏览/下载:11/0  |  提交时间:2024/02/22
An Improved Method to Enhance Low Illumination Image Based on Retinex Theory 会议论文  OAI收割
Virtual, Online, China, December 11-13, 2020
作者:  
Fu B(傅博);  Fan HJ(范慧杰);  Rong QX(荣庆轩)
  |  收藏  |  浏览/下载:13/0  |  提交时间:2021/04/13
Dynamical stochastic resonance for nonuniform illumination image enhancement 期刊论文  OAI收割
IET Image Processing, 2018, 卷号: 12, 期号: 12, 页码: 2147-2152
作者:  
Zhang, Yongbin;  Liu, Hongjun;  Huang, Nan;  Wang, Zhaolu
  |  收藏  |  浏览/下载:52/0  |  提交时间:2018/12/18
Tunable Luminescence and Energy Transfer properties of Sr(3)AlO(4)F: RE(3+) (RE = Tm/Tb, Eu, Ce) Phosphors 期刊论文  OAI收割
acs applied materials & interfaces, 2011, 卷号: 3, 期号: 7, 页码: 2738-2746
Shang MM; Li GG; Kang XJ; Yang DM; Geng DL; Lin J
收藏  |  浏览/下载:23/0  |  提交时间:2012/06/08
人脸识别关键问题和算法研究 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  
雷震
收藏  |  浏览/下载:142/0  |  提交时间:2015/09/02
The calibration of faint simulation star magnitude based on single photon count technique (EI CONFERENCE) 会议论文  OAI收割
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China
作者:  
Xu S.-Y.;  Guo J.;  Guo J.
收藏  |  浏览/下载:31/0  |  提交时间:2013/03/25
A calibration method of faint star magnitude of the star scene simulation device is proposed in this paper. In the research of simulation star magnitude  luminometers and CCD devices are the general calibration devices which are used to measure the illumination intensity and calibrate its magnitude. But if the simulation magnitude is only sixth magnitude  its illumination intensity is only 1.010-8 Lux. This illumination intensity level is the lowest illumination intensity that the commercial luminometer can detect. Hence the simulation star magnitude lower than six magnitude cannot be calibrated by luminoters. Likewise CCD devices also need an additive cooler in this case. When the single photon characteristic is presented due to the low luminosity of simulating light sources  the simulation star magnitude can be calibrated by detecting its photon flux of radiation with the method of single photon count. In this paper the detection principle of single photon based on a compact designed PMT detecting of the radiation level of simulation star magnitude is advanced. Especially a spectrum match method is proved theoretically to be an effective means for selecting PMT photosensitive type. In the case of the detection object of the simulation star in visible wavelength  a analysis indicates that the material of tri-alkali cathode materials its best choice after being compared the Signal-to-Noise of photon detector of several PMT photosensitive materials based on the different spectrum match ratio of different object light sources and different cathode materials. An experiment is employed to show the relationship of control voltage of PMT and its dark counter  the relationship of the environment temperature of PMT and its dark counter  which proves its only decades of CPS at room temperature. The so low dark counter avoids a bulky cooler and is convenient for installing it on the star scene simulation equipment. Finally in the experiment of calibrating the simulation star magnitudes the ability of its calibration is confirmed to reaches up to 12m  meanwhile its calibration error is within 0.2m. 2009 SPIE.  
LED optical engine based on rectangular CPC for micro-projection display (EI CONFERENCE) 会议论文  OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, November 19, 2008 - November 21, 2008, Chengdu, China
作者:  
Meng Z.;  Meng Z.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
With applications in digital display  consumer electronics  medicine  automotive lighting  traffic signals  and general illumination  the light-emitting diode (LED) is the world's most efficient light source being mass produced today[1]. However  high cost is the main factor restricting widespread application of LED lighting  and the packaging is the most expensive aspect of LED products. Light emitting diodes (LED) are regarded as the most important light sources in solid-state lighting for their advantages in energy efficiency  long life  vivid colors  high reliability  environmental protection  safety and multiple applications. However  application of LEDs in projection display exist many questions such as low illuminance uniformity and low energy efficiency by reason of luminescence distribution and constructure specificity for LED  the study on application of LED in the micro-projection display and projection display is reported[2-8]. Considering the question mensioned above the rectangular CPC(Compound Parabolic Concentrator) system with three-color LED is applied in the projection display. 2009 SPIE.  
Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文  OAI收割
2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:133/0  |  提交时间:2013/03/25
A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates  in addition  firstly  on the basis of correct recognition  we segment the object regions in them and compute their covariant matrices. Secondly  it can estimate affine parameters exactly  normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants  and the estimated error is within 3%. 2008 IEEE.  and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance  if more than one value is larger than threshold  take the corresponding templates as candidates  and compute affine matrix between real-time image and every candidate. Finally  transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination  with low computational complexity  and it can realize recognition of different affine objects  
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文  OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.  
Feature spatial pyramid network for low-light image enhancement 期刊论文  OAI收割
Visual Computer
作者:  
Song, Xijuan;  Huang, Jijiang;  Cao, Jianzhong;  Song, Dawei
  |  收藏  |  浏览/下载:17/0  |  提交时间:2022/02/14