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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex 期刊论文 IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795 作者:  Liu, Haoting;  Lu, Hanqing;  Zhang, Yu 收藏  |  浏览/下载：41/0  |  提交时间：2018/03/03 Image Enhancement  Video Surveillance  Image Restoration  Wavelet Transforms  Neural Nets  Backpropagation  Outdoor Long-range Surveillance  Blind Iq-learning Multiscale Retinex  Visible Light Camera-based  Image Enhancement Method  Blind Image Quality Learning Multiscale Retinex  Image Brightness Degree  Image Region Contrast Degree  Image Edge Blur Degree  Image Colour Quality Degree  Image Noise Degree  Wavelet Transform Multiscale Retinex  Wt_msr  Multiple Optimal Control Parameter  Mocp  Backpropagation Neural Network  Bpnn   Centroid localization algorithm based on bicubic interpolation gray square weighted (EI CONFERENCE) 会议论文 2012 3rd International Conference on Advances in Materials and Manufacturing Processes, ICAMMP 2012, December 22, 2012 - December 23, 2012, Beihai, China Zhou J.; Chen X.-L.; Li S.-J.; Huang D.-Y.; Ma G.-Z. 收藏  |  浏览/下载：142/0  |  提交时间：2013/03/25 The 3D coordinates of measured point is embodied in 2D image coordinate of the optical characteristic point via the visual measurement system. Based on the gray square weighted centroid localization algorithm  the paper presents bicubic interpolation gray square weighted centroid localization algorithm  increases the number of effective pixels around the optical characteristic point imaging center  and reduces noise error via the gray square weighted  improves the imaging center location accuracy of optical characteristic point  realizes the accurate location of the optical characteristic points. Results indicate application of the proposed algorithm to location  the standard tolerance along the direction of x is 0.0022 Pixel  the standard tolerance along the direction of y is 0.0023 Pixel  compared with the others  the standard tolerance is minimum and discrete to a lesser degree distancing ideal image point  that is  the proposed algorithm has higher location accuracy. The maximum tolerance along the direction of x is 0.008 Pixel  the one along the direction of y is 0.007 Pixel  compared with the other two algorithms  the maximum tolerance is minimum.Results indicate that the stability of the proposed algorithm is better. (2013) Trans Tech Publications  Switzerland.   A line mapping based automatic registration algorithm of infrared and visible images 会议论文 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕) 收藏  |  浏览/下载：23/0  |  提交时间：2013/12/26 There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.   Design of high speed and parallel compression system used in the big area CCD of high frame frequency (EI CONFERENCE) 会议论文 2011 International Conference on Precision Engineering and Non-Traditional Machining, PENTM 2011, December 9, 2011 - December 11, 2011, Xi'an, China Liu Y.-Y.; Gao Y.-H.; Li G.-N.; Wang W.-H.; Zhang R.-F.; Jin L.-X. 收藏  |  浏览/下载：48/0  |  提交时间：2013/03/25 According to the area CCD camera of characteristics  such as high resolution capacity and high frame frequency  this paper puts forward a high speed and parallel image compression system of high integration degree. Firstly  according to the work principle of the area CCD  FPGA is adopted to realize the timing driving and multichannel and parallel analog signal handling to raise the export frame frequency of the area CCD. Secondly  with an image compression scheme based on FPGA embedded processor MicroBlaze and ADV212 compression chip  real time image compression and the high speed area CCD are realized. Finally  by detecting the analog signal of the area CCD output  the real time compression of the big area CCD image is carried out in different compression ratios and the compression performance is analyzed. Experiment result shows that this scheme can realize real time image compression with the biggest data rate of 520Mbps. When compression bit ratio is 0.15  the signal-to-noise ratio of peak value can reach 36 dB. Image collection and image compression are integrated  which reduces the data transmission between them and improves systematic integration degree.