首页 | 本学科首页   官方微博 | 高级检索  
     

一种用硬件实现的Bayer格式图像恢复算法
引用本文:李渊渊,孟伟. 一种用硬件实现的Bayer格式图像恢复算法[J]. 中国光学与应用光学, 2009, 2(6): 538-542
作者姓名:李渊渊  孟伟
作者单位:1. 中国科学院,长春光学精密机械与物理研究所,吉林,长春130033
2. 中国科学院,研究生院,北京100039
摘    要:
针对传统的双线性Bayer彩色图像恢复算法恢复效果不理想,边界部分不明显,局部图像有团块等问题,提出了一种基于硬件实现的Bayer图像快速插值算法。采用梯度算法对Bayer格式图像绿色通道进行恢复,根据像素点所属的颜色组对蓝色通道进行恢复。实验结果表明,本文算法比双线性法有更好的峰值信噪比(PSNR)值,RGB 3个通道的PSNR值均比双线性法高5 dB以上,而且算法消耗时间比双线性法少,恢复的图像视觉效果更好。实验处理一幅512×512的全彩图像仅需要9.3 ms,完全可以满足实时性的要求,因此,本文算法在对实时性要求高的场合有很好的应用前景。

关 键 词:Bayer图像  插值算法  现场可编程门阵列
收稿时间:2009-09-11
修稿时间:2009-11-13

Real-time hardware Bayer color image restoration algorithm and its implementation
LI Yuan-yuan,MENG Wei. Real-time hardware Bayer color image restoration algorithm and its implementation[J]. , 2009, 2(6): 538-542
Authors:LI Yuan-yuan  MENG Wei
Affiliation:1.Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Science,Changchun 130033,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China
Abstract:
An improved fast Bayer interpolation algorithm based on the Field Programming Gate Array(FPGA) was presented to solve the problems of a traditional bilinear Bayer color image restoration on edge blurring and lumps in images. With the algorithm, a gradient algorithm was used to restore the green channel and the color groups corresponding to pixels to restore the blue channel for a image. Experimental results indicate that the algorithm can offer a better visual effect of the images, and the Signal to Noise Ratios(SNRs) of RGB channels obtained from the proposed algorithm are all higher 5 dB than those of obtained from the bilinear algorithm. Moreover, the time-consuming of the algorithm is less than that of the bilinear algorithm, and a 512× 512 full color image can be processed in 9.3 ms. These results can meet the requirements of real time image processing and have higher application values.
Keywords:Bayer image  interpolation algorithm  Field Programming Gate Array(FPGA)
本文献已被 万方数据 等数据库收录!
点击此处可从《中国光学与应用光学》浏览原始摘要信息
点击此处可从《中国光学与应用光学》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号