
浏览全部资源
扫码关注微信
中国科学院 长春光学精密机械与物理研究所,吉林 长春,中国,130033
收稿日期:2013-01-04,
修回日期:2013-02-02,
纸质出版日期:2014-02-15
移动端阅览
王宇庆, 刘维亚, 丁铁夫, 郑喜凤, 王瑞光, 徐秀知, 陈宇, 汪洋. 基于CCD图像的LED显示屏亮度均匀性评估方法[J]. 液晶与显示, 2014,29(1): 137-145
WANG Yu-qing, LIU Wei-ya, DING Tie-fu, ZHENG Xi-feng, WANG Rui-guang, XU Xiu-zhi, CHEN Yu, WANG Yang. Assessment method for luminance uniformity of LED display based on CCD image[J]. , 2014,29(1): 137-145
王宇庆, 刘维亚, 丁铁夫, 郑喜凤, 王瑞光, 徐秀知, 陈宇, 汪洋. 基于CCD图像的LED显示屏亮度均匀性评估方法[J]. 液晶与显示, 2014,29(1): 137-145 DOI:
WANG Yu-qing, LIU Wei-ya, DING Tie-fu, ZHENG Xi-feng, WANG Rui-guang, XU Xiu-zhi, CHEN Yu, WANG Yang. Assessment method for luminance uniformity of LED display based on CCD image[J]. , 2014,29(1): 137-145 DOI:
将CCD摄像机用于LED显示屏亮度特征数据的采集,深入分析了LED显示屏CCD感光图像的特点,在此基础上,完成了感光单元的识别以及亮度特征数据的提取,提出了一种通过计算亮度特征图像各部分之间的相似程度评估显示屏亮度均匀性的方法。针对亮度特征图像,采用在水平和垂直方向上各等分为2块以及直接将其等分为4块2种分块方法,分别计算各图像分块之间奇异值向量的夹角以度量其相似程度,最后将各分块相似度的平均值作为该显示屏样块亮度均匀性的度量。实验结果表明,2种分块方法对同一组显示屏样块的亮度均匀性评估结果是一致的,均与人的主观感觉相符。
CCD camera is used in the luminance data acquisition of LED display
and the property of CCD photosensitive image is analyzed. On the basis of that
a luminance uniformity assessment method is presented after finishing photosensitive unit recognition and luminance data extraction. It is based on the structure comparability of the different parts of the luminance data image. The luminance data image is divided into two blocks horizontally and vertically. It's also divided into four blocks equally.The angle between singular vectors of each two blocks is used to evaluate their difference. The blocks of luminance data image of LED display with good luminance uniformity are more similar than the blocks of luminance data image of LED display with poor luminance uniformity. The luminance uniformity of the display is accordingly evaluated by the difference measurement of the blocks. Experimental results show that the assessment results of the two dividing methods are all coincident with perceptual property of human eye.
桂劲征, 陈宇, 苗静, 等. 基于HVS的LED显示屏亮度均匀性评估方法[J]. 液晶与显示, 2012, 27(5):658-665. Gui J Z, Chen Y, Miao J, et al. Luminance uniformity evaluation for LED display panel based on HVS[J].Chinese Journal of Liquid Crystals and Displays, 2012, 27(5):658-665. (in Chinese)[2] 宋新丽, 郑喜凤, 凌丽清, 等. 基于灰度直方图的LED显示屏亮度均匀性评估方法[J]. 液晶与显示, 2009, 24(1):140-144. Song X L, Zheng X F, Ling L Q, et al.Luminance uniformity evaluation for LED display panel based on gray histogram[J].Chinese Journal of Liquid Crystals and Displays, 2009, 24(1):140-144.(in Chinese)[3] 丁柏秀, 郑喜凤, 陈宇, 等. 发光二极管显示屏CCD图像的修正[J]. 光学精密工程, 2013, 21(5):1318-1325. Ding B X, Zheng X F, Chen Y, et.al. Revision of LED display images acquired by CCD camera[J].Optics and Precision Engineering, 2013, 21(5):1318-1325. (in Chinese)[4] David R J, Dingeman C B, Gerry K, et al.Digital imaging colorimeter for fast measurement of chromaticity coordinate and luminance uniformity of displays[J].Proc. SPIE, 2001, 4295:176-187[5] 赵梓权, 王瑞光, 郑喜凤, 等. 用彩色CCD相机测量发光二极管显示屏的色度[J]. 光学精密工程, 2013, 21(3):575-582. Zhao X Q, Wang R G, Zheng X F, et al. Measurement of chroma of LED display with Color CCD camera[J].Optics and Precision Engineering, 2013, 21(3):575-582. (in Chinese)[6] 全先荣, 李宪圣, 任建伟, 等. 基于辐射亮度反演的TDI CCD相机的响应非均匀性校正[J]. 液晶与显示, 2011, 26(3):379-383. Quan X R, Li X S, Ren J W, et al. Nonuniformity correction of TDI CCD camera based on radiation luminance revises[J].Chinese Journal of Liquid Crystals and Displays, 2011, 26(3):379-383. (in Chinese)[7] 宋喜佳, 刘维亚, 陈伟, 等. 基于相频空间稀疏性快速估计发光二极管灯点参数[J]. 光学精密工程. 2013, 21(1):167-173. Song X J, Liu W Y, Chen W. Estimation of parameters for LED points based on sparsity of frequency offset-phase delay space[J]. Optics and Precision Engineering, 2013, 21(1):167-173. (in Chinese)[8] 赵梓权, 王瑞光, 郑喜凤, 等. LED显示屏的色域校正[J]. 液晶与显示, 2013, 28(1):92-98. Zhao X Q, Wang R G, Zheng X F.Color gamut correction of LED displays[J].Chinese Journal of Liquid Crystals and Displays, 2013, 28(1):92-98. (in Chinese)[9] 阮海蓉, 夏贵勇. 基于照相的LED显示屏亮度校正方法[J]. 液晶与显示, 2012, 27(2):193-197. Ruan H R, Xia G Y. Brightness correction method of LED display based on photographing[J].Chinese Journal of Liquid Crystals and Displays, 2012, 27(2):193-197. (in Chinese)[10] 张学军, 左春柽, 文伟力, 等. 基于计算机视觉的微观稀疏离散粒子尺寸的检测[J]. 光学 精密工程, 2007, 15(4): 611-614. Zhane X J, Zuo C C, Wen W L, et al.Measurement of sparse scatter particulates based on computer vision[J].Optics and Precision Engineering, 2007, 15(4): 611-614. (in Chinese)[11] Aleksandr S, Alexander G, Ahmet M E.An SVD-based grayscale image quality measure for local and global assessment[J].IEEE Transactions on Image Processing, 2006, 15 (2): 422-429.[12] 骞森, 朱剑英. 基于奇异值分解的图像质量评价[J]. 东南大学学报:自然科学版, 2006, 36(4):643-646. Qian S, Zhu J Y.Image quality measure using singular value decomposition[J]. Journal of Southeast University:Natural Science Edition, 2006, 36(4):643-646. (in Chinese)[13] 袁飞, 黄联芬, 姚彦. 基于视觉掩盖效应和奇异值分解的图像质量评测方法[J]. 光学精密工程, 2008, 16(4):706-713. Yuan F, Huang L F, Yao Y. Image quality evaluation based on visual masking effect and singular value decomposition[J].Optics and Precision Engineering, 2008, 16(4):706-713. (in Chinese)[14] 王宇庆, 朱明. 评价彩色图像质量的四元数矩阵最大奇异值方法[J]. 光学精密工程, 2013, 21(2):428-437. Wang Y Q, Zhu M. Maximum singular value method of quaternion matrix for evaluating color image quality[J].Optics and Precision Engineering, 2013, 21(2):428-437. (in Chinese)[15] Liu R Z, Tan T N. SVD-based watermarking scheme for protecting rightful ownership[J].IEEE Transactions on Multimedia, 2002, 4(1):121-128.[16] Pan Q, Zhang M G, Zhou D L, et al.Face recognition based on singular value feature vectors[J].Optical Engineering, 2003, 42(8):2368-2374.
0
浏览量
162
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621