基于权重因子的RGB-RGBG像素结构转换算法及其FPGA实现
发布时间：2018-11-22 11:52
【摘要】：主动阵列有机发光二极管(AMOLED)面板具有低功耗、视角广、柔韧性等优点,被视为下一代显示技术的关键。但是它通常采用RGBG型像素排列,而图像的像素结构是RGB,为了实现图像的显示,迫切需要研究RGB-RGBG的转换算法。本文提出了一种基于权重因子(BWF)的RGB-RGBG像素结构转换算法,并在现场可编程逻辑门阵列(FPGA)上实现电路。通过对原灰阶进行权重求和,得到各个RGBG子像素的灰阶。这种方法可以将灰阶误差降至最低。此外,彩边效应得到极大的改善。实验结果表明,相比于DA算法,BWF算法处理所得图像的PSNRU和PSNRV分别提高了9.2%和9.3%,MSE比DA算法降低19.5%。该算法研究通过FPGA验证,结果表明,BWF处理后的图像显示效果优越。
[Abstract]:The active array organic light-emitting diode (AMOLED) panel has the advantages of low power consumption, wide viewing angle, flexibility and so on, so it is regarded as the key of the next generation display technology. However, it usually uses RGBG type pixel arrangement, and the pixel structure of image is RGB,. In order to realize image display, it is urgent to study the conversion algorithm of RGB-RGBG. In this paper, a RGB-RGBG pixel structure conversion algorithm based on weighted factor (BWF) is proposed, and the circuit is implemented on the field programmable gate array (FPGA). By summing the weights of the original gray scale, the gray scales of each RGBG sub-pixel are obtained. The grey scale error can be minimized by this method. In addition, the color edge effect is greatly improved. The experimental results show that compared with the DA algorithm, the PSNRU and PSNRV of the image processed by the BWF algorithm are increased by 9.2% and 9.3%, respectively, which are 19.550% lower than that of the DA algorithm. The algorithm is verified by FPGA, and the result shows that the image display effect after BWF processing is superior.
【作者单位】： 遵义师范学院;
【基金】：贵州省教育厅重点项目(黔教合KY字[2015]407) 贵州省省级物理学特色重点学科(ZDXK[2015]12) 遵义师范学院博士基金(遵师BS[2015]07号)~~
【分类号】：TN383.1;TN791
本文编号：2349299
[Abstract]:The active array organic light-emitting diode (AMOLED) panel has the advantages of low power consumption, wide viewing angle, flexibility and so on, so it is regarded as the key of the next generation display technology. However, it usually uses RGBG type pixel arrangement, and the pixel structure of image is RGB,. In order to realize image display, it is urgent to study the conversion algorithm of RGB-RGBG. In this paper, a RGB-RGBG pixel structure conversion algorithm based on weighted factor (BWF) is proposed, and the circuit is implemented on the field programmable gate array (FPGA). By summing the weights of the original gray scale, the gray scales of each RGBG sub-pixel are obtained. The grey scale error can be minimized by this method. In addition, the color edge effect is greatly improved. The experimental results show that compared with the DA algorithm, the PSNRU and PSNRV of the image processed by the BWF algorithm are increased by 9.2% and 9.3%, respectively, which are 19.550% lower than that of the DA algorithm. The algorithm is verified by FPGA, and the result shows that the image display effect after BWF processing is superior.
【作者单位】： 遵义师范学院;
【基金】：贵州省教育厅重点项目(黔教合KY字[2015]407) 贵州省省级物理学特色重点学科(ZDXK[2015]12) 遵义师范学院博士基金(遵师BS[2015]07号)~~
【分类号】：TN383.1;TN791
【相似文献】
相关期刊论文 前5条
1 王乐新,王喜昌;色差型权重因子计算机配色方法研究[J];黑龙江八一农垦大学学报;2001年02期
2 龙著乾;许苗村;;浅谈基于线性数据库的色差权重因子计算机配色[J];信息系统工程;2013年06期
3 王喜昌,华臻,宫严军,宋东草;基于线性数据库的色差权重因子计算机配色[J];光学学报;2004年09期
4 兰岚,陈建国,林晓东,李大义;利用由折射率表示的权重因子研究多层介质镜[J];激光技术;2004年01期
5 ;[J];;年期
相关会议论文 前1条
1 宋俊峰;刘金起;;乳腺组织危险权重因子调整带来机遇与挑战[A];2010中华医学会影像技术分会第十八次全国学术大会论文集[C];2010年
相关硕士学位论文 前1条
1 李岚;双源双能量不同权重因子CT肺动脉血管成像图像质量的对比研究[D];重庆医科大学;2014年
，本文编号：2349299
本文链接：https://www.wllwen.com/kejilunwen/dianzigongchenglunwen/2349299.html
