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,RGB3个通道的PSNR值均比双线性法高5dB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9.3ms,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。
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 chan- nels obtained from the proposed algorithm are all higher 5 dB than those of obtained from the bilinear algo- rithm. 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.
出处
《中国光学与应用光学》
2009年第6期538-542,共5页
Chinese Optics and Applied Optics Abstracts
关键词
Bayer图像
插值算法
现场可编程门阵列
Bayer image
interpolation algorithm
Field Programming Gate Array （FPGA）
