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引用次数: 4

摘要

本文主要研究了一种基于拜耳模板的图像重构算法。首先,通过G的信息估计其他分量的梯度信息,根据各分量的梯度相关性,包括R、G和b,然后得到其他分量的值。由CMOS采集的分辨率为1280*1024,每秒25帧的拜耳图像,经内插提帧后,通过DVI接口输出或存储在存储器中。在FPGA平台上对该算法进行了验证。实验结果表明,重建图像的质量非常好,PSNR高达37 dB。
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Implementation of bayer image interpolation based on FPGA
This paper is mainly about an image reconstruction algorithm, which based on bayer template. First, to estimate other components' gradient information through the information of G, according to each component's gradient correlation, including R, G and B. And then get other component's values. The bayer image, whose resolution ratio is 1280*1024, 25 frames per second, captured by CMOS, is output by DVI interface or stored in memory after being interpolated and raised frame. The algorithm is verified on FPGA platform. The experiment shows that the reconstruction image's quality is very high and the PSNR is high to 37 dB.
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