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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。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.
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