QQ客服 官方微博 反馈留言

浏览/检索结果: 共4条，第1-4条 帮助 限定条件 内容类型：会议论文    专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     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 An adaptive algorithm for low contrast infrared image enhancement 会议论文 5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013, June 25, 2013 - June 27, 2013, Beijing, China Liu S.-D.; Peng C.-Y.; Wang M.-J.; Wu Z.-G.; Liu J.-Q. 收藏  |  浏览/下载：11/0  |  提交时间：2014/05/15 Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文 2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China Wang Y.; Zhao X.; Mo X.; Wang Y. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.   Cr image enhancement based on human visual characteristics (EI CONFERENCE) 会议论文 2010 International Conference on Computer Design and Applications, ICCDA 2010, June 25, 2010 - June 27, 2010, Qinhuangdao, Hebei, China Zhang M.-H.; Zhang Y.-Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 The characteristic of digital CR medicine radiation image has wide dynamic range  abundant details and bad contrast  so it is necessary to enhance CR image to the need of doctor diagnosis. But the general enhancement algorithms don't consider human visual characteristics  so it puts forward CR medicine image adaptive enhancement algorithm combining the human visual property  which is more sensitive to smooth area noise compared with detail area noise  and makes image edge detail enhancement great in detail area  and detail enhancement little in smooth area  in which factor K is based on space change of image domain  accordingly gaining non-linear enhancement edge details of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  so the method is fit for edge detail enhancement of CR medicine radiation image. 2010 IEEE.   Color image quality assessment based on quaternion singular value decomposition (EI CONFERENCE) 会议论文 1st International Congress on Image and Signal Processing, CISP 2008, May 27, 2008 - May 30, 2008, Sanya, Hainan, China Wang Y.; Liu W.; Wang Y. 收藏  |  浏览/下载：11/0  |  提交时间：2013/03/25 An effective assessment method for color image is proposed. It is based on the quaternion description for the structural information of color image. The local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices correspond to the reference image and the distorted image is used to measure the structural similarity of the two images. Results from experiments show that the proposed method is better consistent with the human visual characteristics than MSE  PSNR and SSIM. The images whose size is different from that of the reference image can also be assessed by this method. 2008 IEEE.